{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parking Robot with Continuous Dynamics\n",
    "\n",
    "Richard M. Murray, 4 Mar 2020\n",
    "\n",
    "## Problem description\n",
    "This example illustrates the use of TuLiP to synthesize a reactive\n",
    "controller for system whose dynamics are described by a discrete\n",
    "transition system.  It is an extension of the `robot_simple_discrete` by including continuous dynamics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook setup\n",
    "\n",
    "The first section of the code should import all of the packages that are needed for the system (including TuLiP).  There are also various comments that can be placed here to configure the Jupyter notebook to display graphics and moves inline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Jupyter notebook setup\n",
    "%matplotlib inline\n",
    "from IPython.display import HTML        # for inline animations\n",
    "\n",
    "# Import TuLiP (including the main modules)\n",
    "import tulip as tlp\n",
    "import tulip.hybrid, tulip.abstract, tulip.spec, tulip.synth\n",
    "import polytope as poly                 # optional polytop package\n",
    "\n",
    "# Additional packages that are used (optional)\n",
    "import numpy as np\n",
    "import random\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## System model\n",
    "\n",
    "The system model is an input/output model that takes inputs from the controller and describes how the system state evolves.  You can descibe the system in one of several ways:\n",
    "\n",
    "* Directly as a transition system, using `tulip.transys.FTS()`\n",
    "* As an LTL formula that describes how the state evolves\n",
    "* Using a domain specific language (such as `tulip.gridworld`)\n",
    "* As a piecewise affine system, with continuous dynamics and a (automatically computed) discrete abstraction\n",
    "\n",
    "We consider here the case of a piecewwise affine (PWA) system since it is more general than the others.  See `robot_simple_discrete.ipynb` for transition system example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Continuous dynamics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A =\n",
      "   [[1. 0.]\n",
      "    [0. 1.]]\n",
      "B =\n",
      "   [[0.1 0. ]\n",
      "    [0.  0.1]]\n",
      "E =\n",
      "   [[1 0]\n",
      "    [0 1]]\n",
      "K =\n",
      "   [[0.]\n",
      "    [0.]]\n",
      "Uset =\n",
      "   Single polytope \n",
      "     [[ 1.  0.] |    [[1.]\n",
      "      [ 0.  1.] x <=  [1.]\n",
      "      [-1. -0.] |     [1.]\n",
      "      [-0. -1.]]|     [1.]]\n",
      "   \n",
      "Wset =\n",
      "   Single polytope \n",
      "     [[ 1.  0.] |    [[0.01]\n",
      "      [ 0.  1.] x <=  [0.01]\n",
      "      [-1. -0.] |     [0.01]\n",
      "      [-0. -1.]]|     [0.01]]\n",
      "   \n"
     ]
    }
   ],
   "source": [
    "# Continuous state space: 2D box of size 3 x 2\n",
    "cont_state_space = poly.box2poly([[0., 3.], [0., 2.]])\n",
    "\n",
    "# System dynamics (continuous state, discrete time): simple integrator\n",
    "A = np.array([[1.0, 0.], [ 0., 1.0]])\n",
    "B = np.array([[0.1, 0.], [ 0., 0.1]])\n",
    "E = np.array([[1,0], [0,1]])\n",
    "\n",
    "# Available control, possible disturbances\n",
    "U = poly.box2poly(np.array([[-1., 1.], [-1., 1.]]))\n",
    "W = poly.box2poly(np.array([[-0.01, 0.01], [-0.01, 0.01]]))\n",
    "\n",
    "# Construct the LTI system describing the dynamics\n",
    "sys_dyn = tlp.hybrid.LtiSysDyn(A, B, E, None, U, W, cont_state_space)\n",
    "\n",
    "print(sys_dyn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Proposition preserving partitions\n",
    "\n",
    "For a continuous system we need to identify regions of the state space \n",
    "in which the atomic propositions that we will use in formulas will hold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "----------------------------------------\n",
      "Proposition Preserving Partition:\n",
      "----------------------------------------\n",
      "\n",
      "Domain: Single polytope \n",
      "  [[ 1.  0.] |    [[ 3.]\n",
      "   [ 0.  1.] x <=  [ 2.]\n",
      "   [-1. -0.] |     [-0.]\n",
      "   [-0. -1.]]|     [-0.]]\n",
      "\n",
      "Region: 0\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 3.]\n",
      "\t\t   [ 0.  1.] x <=  [ 2.]\n",
      "\t\t   [-1. -0.] |     [-2.]\n",
      "\t\t   [-0. -1.]]|     [-1.]]\n",
      "\t\t\n",
      "\n",
      "Region: 1\n",
      "\t Propositions: home\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[1.]\n",
      "\t\t   [ 0.  1.] x <=  [1.]\n",
      "\t\t   [-1. -0.] |     [0.]\n",
      "\t\t   [-0. -1.]]|     [0.]]\n",
      "\t\t\n",
      "\n",
      "Region: 2\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 2.]\n",
      "\t\t   [-0. -1.] x <=  [ 0.]\n",
      "\t\t   [-1. -0.] |     [-1.]\n",
      "\t\t   [ 1.  0.]]|     [ 2.]]\n",
      "\t\t\n",
      "\t Polytope number 2:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 3.]\n",
      "\t\t   [-0. -1.] x <=  [ 0.]\n",
      "\t\t   [-1. -0.] |     [-2.]\n",
      "\t\t   [ 0.  1.]]|     [ 1.]]\n",
      "\t\t\n",
      "\t Polytope number 3:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 2.]\n",
      "\t\t   [-1. -0.] x <=  [ 0.]\n",
      "\t\t   [ 1.  0.] |     [ 1.]\n",
      "\t\t   [-0. -1.]]|     [-1.]]\n",
      "\t\t\n",
      "\n",
      "Adjacency matrix:\n",
      "[[1 0 1]\n",
      " [0 1 1]\n",
      " [1 1 1]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Define atomic propositions for relevant regions of state space\n",
    "cont_props = {}\n",
    "cont_props['home'] = poly.box2poly([[0., 1.], [0., 1.]])\n",
    "cont_props['lot'] = poly.box2poly([[2., 3.], [1., 2.]])\n",
    "\n",
    "# Compute the proposition preserving partition of the continuous state space\n",
    "cont_partition = tlp.abstract.prop2part(cont_state_space, cont_props)\n",
    "print(cont_partition)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discrete abstraction\n",
    "\n",
    "Finally, we compute a discrete abstraction for the system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\cap Pre(sj), so discard intersection\n",
      "\t discarded non-empty intersection: consider reducing min_cell_volume\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n",
      "\t too small: si \\ Pre(sj), so not reached it\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total abstraction time: 48.43[sec]\n"
     ]
    }
   ],
   "source": [
    "disc_dynamics = tlp.abstract.discretize(\n",
    "    cont_partition, sys_dyn, \n",
    "    closed_loop=False, conservative=True, \n",
    "    N=5, min_cell_volume=0.1, plotit=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "----------------------------------------\n",
      "Proposition Preserving Partition:\n",
      "----------------------------------------\n",
      "\n",
      "Domain: Single polytope \n",
      "  [[ 1.  0.] |    [[ 3.]\n",
      "   [ 0.  1.] x <=  [ 2.]\n",
      "   [-1. -0.] |     [-0.]\n",
      "   [-0. -1.]]|     [-0.]]\n",
      "\n",
      "Region: 0\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-0.  1.] |    [[ 1.45]\n",
      "\t\t   [ 1.  0.] x <=  [ 2.45]\n",
      "\t\t   [-1.  0.] |     [-2.  ]\n",
      "\t\t   [ 0. -1.]]|     [-1.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 1\n",
      "\t Propositions: home\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 1.  ]\n",
      "\t\t   [ 1. -0.] x <=  [ 1.  ]\n",
      "\t\t   [-1.  0.] |     [-0.55]\n",
      "\t\t   [ 0. -1.]]|     [-0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 2\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 2.  ]\n",
      "\t\t   [ 0. -1.] x <=  [-0.55]\n",
      "\t\t   [-0.  1.] |     [ 1.  ]\n",
      "\t\t   [-1. -0.]]|     [-1.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 3\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 1.45]\n",
      "\t\t   [ 0. -1.] x <=  [-0.55]\n",
      "\t\t   [-1. -0.] |     [-1.  ]\n",
      "\t\t   [ 0.  1.]]|     [ 1.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 4\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1. -0.] |    [[ 1.9 ]\n",
      "\t\t   [-0. -1.] x <=  [-0.1 ]\n",
      "\t\t   [-0.  1.] |     [ 0.55]\n",
      "\t\t   [-1. -0.]]|     [-1.45]]\n",
      "\t\t\n",
      "\t Polytope number 2:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[-1.45]\n",
      "\t\t   [ 0. -1.] x <=  [-0.55]\n",
      "\t\t   [ 0.  1.] |     [ 1.45]\n",
      "\t\t   [ 1. -0.]]|     [ 1.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 5\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0. -1.] |    [[-1.45]\n",
      "\t\t   [-1.  0.] x <=  [-1.1 ]\n",
      "\t\t   [ 1. -0.] |     [ 1.55]\n",
      "\t\t   [ 0.  1.]]|     [ 2.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 6\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 3.  ]\n",
      "\t\t   [ 0.  1.] x <=  [ 2.  ]\n",
      "\t\t   [-0. -1.] |     [-1.45]\n",
      "\t\t   [-1. -0.]]|     [-2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 7\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 3.  ]\n",
      "\t\t   [-0. -1.] x <=  [ 0.  ]\n",
      "\t\t   [-1. -0.] |     [-1.45]\n",
      "\t\t   [ 0.  1.]]|     [ 0.1 ]]\n",
      "\t\t\n",
      "\n",
      "Region: 8\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1.  0.] |    [[-0.65]\n",
      "\t\t   [-0. -1.] x <=  [-1.45]\n",
      "\t\t   [ 1. -0.] |     [ 1.1 ]\n",
      "\t\t   [-0.  1.]]|     [ 1.9 ]]\n",
      "\t\t\n",
      "\n",
      "Region: 9\n",
      "\t Propositions: home\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[0.  ]\n",
      "\t\t   [-0. -1.] x <=  [0.  ]\n",
      "\t\t   [ 0.  1.] |     [0.55]\n",
      "\t\t   [ 1.  0.]]|     [0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 10\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1.  0.] |    [[-1.9 ]\n",
      "\t\t   [-0.  1.] x <=  [ 0.55]\n",
      "\t\t   [-0. -1.] |     [-0.1 ]\n",
      "\t\t   [ 1.  0.]]|     [ 2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 11\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 2. ]\n",
      "\t\t   [-1. -0.] x <=  [ 0. ]\n",
      "\t\t   [ 1. -0.] |     [ 1.1]\n",
      "\t\t   [-0. -1.]]|     [-1.9]]\n",
      "\t\t\n",
      "\n",
      "Region: 12\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[-1.55]\n",
      "\t\t   [ 0.  1.] x <=  [ 1.45]\n",
      "\t\t   [-0. -1.] |     [-1.  ]\n",
      "\t\t   [ 1.  0.]]|     [ 2.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 13\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1.  0.] |    [[-2.  ]\n",
      "\t\t   [ 0.  1.] x <=  [ 1.9 ]\n",
      "\t\t   [-0. -1.] |     [-1.45]\n",
      "\t\t   [ 1.  0.]]|     [ 2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 14\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1. -0.] |    [[ 3.  ]\n",
      "\t\t   [-0. -1.] x <=  [-0.1 ]\n",
      "\t\t   [ 0.  1.] |     [ 0.55]\n",
      "\t\t   [-1. -0.]]|     [-2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 15\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 1.  0.] |    [[ 2.  ]\n",
      "\t\t   [ 0.  1.] x <=  [ 2.  ]\n",
      "\t\t   [-1. -0.] |     [-1.55]\n",
      "\t\t   [-0. -1.]]|     [-1.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 16\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-0.  1.] |    [[ 1.  ]\n",
      "\t\t   [ 0. -1.] x <=  [-0.55]\n",
      "\t\t   [ 1.  0.] |     [ 3.  ]\n",
      "\t\t   [-1. -0.]]|     [-2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 17\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[-0.55]\n",
      "\t\t   [ 0.  1.] x <=  [ 1.45]\n",
      "\t\t   [ 0. -1.] |     [-1.  ]\n",
      "\t\t   [ 1.  0.]]|     [ 1.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 18\n",
      "\t Propositions: home\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-0. -1.] |    [[-0.55]\n",
      "\t\t   [-0.  1.] x <=  [ 1.  ]\n",
      "\t\t   [-1. -0.] |     [ 0.  ]\n",
      "\t\t   [ 1.  0.]]|     [ 0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 19\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[ 0.  ]\n",
      "\t\t   [-0.  1.] x <=  [ 1.45]\n",
      "\t\t   [-0. -1.] |     [-1.  ]\n",
      "\t\t   [ 1. -0.]]|     [ 0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 20\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-0. -1.] |    [[-1.45]\n",
      "\t\t   [-1. -0.] x <=  [-0.  ]\n",
      "\t\t   [ 0.  1.] |     [ 1.9 ]\n",
      "\t\t   [ 1. -0.]]|     [ 0.65]]\n",
      "\t\t\n",
      "\n",
      "Region: 21\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0. -1.] |    [[-0.55]\n",
      "\t\t   [ 1.  0.] x <=  [ 2.45]\n",
      "\t\t   [ 0.  1.] |     [ 1.  ]\n",
      "\t\t   [-1. -0.]]|     [-2.  ]]\n",
      "\t\t\n",
      "\n",
      "Region: 22\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 1.45]\n",
      "\t\t   [ 0. -1.] x <=  [-1.  ]\n",
      "\t\t   [ 1.  0.] |     [ 3.  ]\n",
      "\t\t   [-1. -0.]]|     [-2.45]]\n",
      "\t\t\n",
      "\n",
      "Region: 23\n",
      "\t Propositions: lot\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 2.  ]\n",
      "\t\t   [-1.  0.] x <=  [-2.  ]\n",
      "\t\t   [ 1.  0.] |     [ 2.45]\n",
      "\t\t   [-0. -1.]]|     [-1.9 ]]\n",
      "\t\t\n",
      "\n",
      "Region: 24\n",
      "\t Propositions: home\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[-1. -0.] |    [[-0.55]\n",
      "\t\t   [-0. -1.] x <=  [-0.  ]\n",
      "\t\t   [ 1.  0.] |     [ 1.  ]\n",
      "\t\t   [-0.  1.]]|     [ 0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 25\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0. -1.] |    [[ 0.  ]\n",
      "\t\t   [-1.  0.] x <=  [-1.  ]\n",
      "\t\t   [ 1. -0.] |     [ 1.45]\n",
      "\t\t   [ 0.  1.]]|     [ 0.55]]\n",
      "\t\t\n",
      "\n",
      "Region: 26\n",
      "\t Propositions: {}\n",
      "\t Polytope number 1:\n",
      "\t Single polytope \n",
      "\t\t  [[ 0.  1.] |    [[ 1.45]\n",
      "\t\t   [ 1.  0.] x <=  [ 1.45]\n",
      "\t\t   [ 0. -1.] |     [-1.  ]\n",
      "\t\t   [-1. -0.]]|     [-1.  ]]\n",
      "\t\t\n",
      "\n",
      "Adjacency matrix:\n",
      "[[1 0 1 0 0 0 1 0 0 0 0 0 1 1 0 1 1 0 0 0 0 1 1 0 0 0 0]\n",
      " [0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 1 1]\n",
      " [1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0]\n",
      " [0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1]\n",
      " [0 0 1 1 1 1 0 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1]\n",
      " [0 0 0 0 1 1 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1]\n",
      " [1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0]\n",
      " [0 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0]\n",
      " [0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1]\n",
      " [0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0]\n",
      " [0 0 1 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0]\n",
      " [0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0]\n",
      " [1 0 1 0 1 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 0]\n",
      " [1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 0 0]\n",
      " [0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0]\n",
      " [1 0 0 0 1 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0]\n",
      " [1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0]\n",
      " [0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1]\n",
      " [0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 0 0]\n",
      " [0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0]\n",
      " [1 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 1 1 0 0 0 0]\n",
      " [1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0]\n",
      " [0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0]\n",
      " [0 1 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0]\n",
      " [0 1 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1]]\n",
      "----------------------------------------\n",
      "Finite Transition System (open): \n",
      "----------------------------------------\n",
      "Atomic Propositions (APs):\n",
      "MathSet(['lot', 'home'])\n",
      "\n",
      "States labeled with sets of APs:\n",
      "\t State: 0, AP: {'lot'}\n",
      "\t State: 1, AP: {'home'}\n",
      "\t State: 2, AP: set()\n",
      "\t State: 3, AP: set()\n",
      "\t State: 4, AP: set()\n",
      "\t State: 5, AP: set()\n",
      "\t State: 6, AP: {'lot'}\n",
      "\t State: 7, AP: set()\n",
      "\t State: 8, AP: set()\n",
      "\t State: 9, AP: {'home'}\n",
      "\t State: 10, AP: set()\n",
      "\t State: 11, AP: set()\n",
      "\t State: 12, AP: set()\n",
      "\t State: 13, AP: {'lot'}\n",
      "\t State: 14, AP: set()\n",
      "\t State: 15, AP: set()\n",
      "\t State: 16, AP: set()\n",
      "\t State: 17, AP: set()\n",
      "\t State: 18, AP: {'home'}\n",
      "\t State: 19, AP: set()\n",
      "\t State: 20, AP: set()\n",
      "\t State: 21, AP: set()\n",
      "\t State: 22, AP: {'lot'}\n",
      "\t State: 23, AP: {'lot'}\n",
      "\t State: 24, AP: {'home'}\n",
      "\t State: 25, AP: set()\n",
      "\t State: 26, AP: set()\n",
      "\n",
      "\n",
      "Initial States:\n",
      "SubSet([])\n",
      "\n",
      "Environment Action Type: env_actions, with possible values:\n",
      "\tMathSet([])\n",
      "MathSet([])\n",
      "\n",
      "System Action Type: sys_actions, with possible values: MathSet([])\n",
      "MathSet([])\n",
      "\n",
      "Transitions labeled with sys and env actions:\n",
      "OutMultiEdgeDataView([(0, 0, {}), (0, 2, {}), (0, 6, {}), (0, 12, {}), (0, 13, {}), (0, 15, {}), (0, 16, {}), (0, 21, {}), (0, 22, {}), (1, 1, {}), (1, 3, {}), (1, 9, {}), (1, 17, {}), (1, 18, {}), (1, 19, {}), (1, 24, {}), (1, 25, {}), (1, 26, {}), (2, 0, {}), (2, 2, {}), (2, 4, {}), (2, 10, {}), (2, 12, {}), (2, 21, {}), (3, 1, {}), (3, 3, {}), (3, 4, {}), (3, 17, {}), (3, 24, {}), (3, 25, {}), (3, 26, {}), (4, 2, {}), (4, 3, {}), (5, 5, {}), (5, 8, {}), (5, 15, {}), (6, 6, {}), (8, 5, {}), (8, 8, {}), (8, 17, {}), (8, 20, {}), (8, 26, {}), (9, 9, {}), (10, 2, {}), (10, 10, {}), (10, 21, {}), (11, 20, {}), (12, 0, {}), (12, 2, {}), (12, 5, {}), (12, 12, {}), (12, 13, {}), (12, 15, {}), (12, 21, {}), (13, 0, {}), (13, 6, {}), (13, 12, {}), (13, 13, {}), (13, 15, {}), (13, 22, {}), (14, 14, {}), (14, 16, {}), (15, 5, {}), (15, 13, {}), (15, 15, {}), (16, 14, {}), (16, 16, {}), (16, 22, {}), (17, 1, {}), (17, 3, {}), (17, 8, {}), (17, 17, {}), (17, 18, {}), (17, 19, {}), (17, 20, {}), (17, 26, {}), (18, 9, {}), (18, 18, {}), (18, 19, {}), (19, 18, {}), (19, 19, {}), (19, 20, {}), (20, 19, {}), (20, 20, {}), (21, 0, {}), (21, 2, {}), (21, 10, {}), (21, 12, {}), (21, 14, {}), (21, 16, {}), (21, 21, {}), (21, 22, {}), (22, 6, {}), (22, 16, {}), (22, 22, {}), (23, 6, {}), (23, 13, {}), (23, 15, {}), (24, 9, {}), (24, 24, {}), (24, 25, {}), (25, 4, {}), (25, 24, {}), (25, 25, {}), (26, 1, {}), (26, 3, {}), (26, 5, {}), (26, 8, {}), (26, 17, {}), (26, 26, {})])\n",
      "----------------------------------------\n",
      "------------------------------\n",
      "Map PPP Regions ---> TS states:\n",
      "\t\t0 -> 0\n",
      "\t\t1 -> 1\n",
      "\t\t2 -> 2\n",
      "\t\t3 -> 3\n",
      "\t\t4 -> 4\n",
      "\t\t5 -> 5\n",
      "\t\t6 -> 6\n",
      "\t\t7 -> 7\n",
      "\t\t8 -> 8\n",
      "\t\t9 -> 9\n",
      "\t\t10 -> 10\n",
      "\t\t11 -> 11\n",
      "\t\t12 -> 12\n",
      "\t\t13 -> 13\n",
      "\t\t14 -> 14\n",
      "\t\t15 -> 15\n",
      "\t\t16 -> 16\n",
      "\t\t17 -> 17\n",
      "\t\t18 -> 18\n",
      "\t\t19 -> 19\n",
      "\t\t20 -> 20\n",
      "\t\t21 -> 21\n",
      "\t\t22 -> 22\n",
      "\t\t23 -> 23\n",
      "\t\t24 -> 24\n",
      "\t\t25 -> 25\n",
      "\t\t26 -> 26\n",
      "\n",
      "Map PPP Regions ---> PWA PPP Regions:\n",
      "\t\t0 -> 0\n",
      "\n",
      "Map PPP Regions ---> PWA Subsystems:\n",
      "\n",
      "Map PPP Regions ---> Original PPP Regions:\n",
      "\t\t0 -> 0\n",
      "\n",
      "Discretization Options:\n",
      "\t{'N': 5,\n",
      " 'closed_loop': False,\n",
      " 'conservative': True,\n",
      " 'max_num_poly': 5,\n",
      " 'min_cell_volume': 0.1,\n",
      " 'trans_length': 1,\n",
      " 'use_all_horizon': False}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "disc_dynamics.plot()\n",
    "print(disc_dynamics)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Environment model\n",
    "\n",
    "The environment describes the external dynamics that the system should respond to.  In TuLiP, it should be a discrete-state system whose behaviors can be specified in a number of ways:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specifications\n",
    "# Environment variables and assumptions\n",
    "env_vars = {'park'}\n",
    "env_init = set()                # empty set\n",
    "env_prog = '!park'\n",
    "env_safe = set()                # empty set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## System specification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# System variables and requirements\n",
    "sys_vars = {'X0reach'}\n",
    "sys_init = {'X0reach'}\n",
    "sys_prog = {'home'}               # []<>home\n",
    "sys_safe = {'(X(X0reach) <-> lot) || (X0reach && !park)'}\n",
    "sys_prog |= {'X0reach'}\n",
    "\n",
    "# Create the specification\n",
    "specs = tlp.spec.GRSpec(env_vars, sys_vars, env_init, sys_init,\n",
    "                    env_safe, sys_safe, env_prog, sys_prog)\n",
    "specs.qinit = '\\E \\A'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Controller synthesis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "removed 0 nodes from 27 total\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctrl = tlp.synth.synthesize(specs,\n",
    "                        sys=disc_dynamics.ts, ignore_sys_init=True)\n",
    "assert ctrl is not None, 'unrealizable'\n",
    "ctrl.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Number of time steps to simulate\n",
    "T = 50\n",
    "\n",
    "# Pick a random parking signal\n",
    "randParkSignal = [random.randint(0, 1) for b in range(1, T + 1)]\n",
    "\n",
    "# Set up parameters for get_input()\n",
    "disc_dynamics.disc_params['conservative'] = True\n",
    "disc_dynamics.disc_params['closed_loop'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initial system  state: 0.8749999999999989 1.6750000000000003 (s8)\n",
      "Initial controller discrete state: Sinit\n",
      "Initialize, Park signal = 0: new controller state 0 {'X0reach': True, 'lot': False, 'home': False, 'loc': 8}\n",
      "\n",
      "Time 0, Park signal = 0:\n",
      "    New controller state 2 {'X0reach': False, 'lot': False, 'home': False, 'loc': 8}\n",
      "    Computing continuous input from [0.875 1.675] (s8) to s8\n",
      "    u = [[0.      0.25268]\n",
      " [0.      0.25139]\n",
      " [0.      0.26843]\n",
      " [0.      0.38479]\n",
      " [0.      0.59271]]\n",
      "    Trajectory ends at [0.875 1.85 ] (s8)\n",
      "\n",
      "Time 1, Park signal = 1:\n",
      "    New controller state 5 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.875 1.85 ] (s8) to s26\n",
      "    u = [[ 0.33274 -0.88996]\n",
      " [ 0.41616 -0.88234]\n",
      " [ 0.4759  -0.88099]\n",
      " [ 0.6252  -0.8889 ]\n",
      " [ 1.      -0.95781]]\n",
      "    Trajectory ends at [1.16 1.4 ] (s26)\n",
      "\n",
      "Time 2, Park signal = 1:\n",
      "    New controller state 7 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [1.16 1.4 ] (s26) to s1\n",
      "    u = [[-0.20107 -0.89013]\n",
      " [-0.20107 -0.88459]\n",
      " [-0.27208 -0.88443]\n",
      " [-0.46423 -0.89141]\n",
      " [-0.96154 -0.94944]]\n",
      "    Trajectory ends at [0.95 0.95] (s1)\n",
      "\n",
      "Time 3, Park signal = 1:\n",
      "    New controller state 7 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [0.95 0.95] (s1) to s1\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [-0. -0.]]\n",
      "    Trajectory ends at [0.95 0.95] (s1)\n",
      "\n",
      "Time 4, Park signal = 0:\n",
      "    New controller state 6 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [0.95 0.95] (s1) to s1\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [-0. -0.]]\n",
      "    Trajectory ends at [0.95 0.95] (s1)\n",
      "\n",
      "Time 5, Park signal = 1:\n",
      "    New controller state 9 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.95 0.95] (s1) to s26\n",
      "    u = [[0.02831 0.02127]\n",
      " [0.01578 0.02074]\n",
      " [0.01541 0.02169]\n",
      " [0.0405  0.0363 ]\n",
      " [1.      1.     ]]\n",
      "    Trajectory ends at [1.06 1.06] (s26)\n",
      "\n",
      "Time 6, Park signal = 1:\n",
      "    New controller state 11 {'X0reach': False, 'lot': False, 'home': False, 'loc': 5}\n",
      "    Computing continuous input from [1.06 1.06] (s26) to s5\n",
      "    u = [[0.84613 0.8692 ]\n",
      " [0.81975 0.8566 ]\n",
      " [0.837   0.88409]\n",
      " [0.90183 0.89011]\n",
      " [0.99528 1.     ]]\n",
      "    Trajectory ends at [1.5  1.51] (s5)\n",
      "\n",
      "Time 7, Park signal = 0:\n",
      "    New controller state 12 {'X0reach': False, 'lot': False, 'home': False, 'loc': 15}\n",
      "    Computing continuous input from [1.5  1.51] (s5) to s15\n",
      "    u = [[0.0233  0.87998]\n",
      " [0.02338 0.8742 ]\n",
      " [0.02441 0.86841]\n",
      " [0.02891 0.87139]\n",
      " [1.      0.90601]]\n",
      "    Trajectory ends at [1.61 1.95] (s15)\n",
      "\n",
      "Time 8, Park signal = 0:\n",
      "    New controller state 14 {'X0reach': False, 'lot': True, 'home': False, 'loc': 13}\n",
      "    Computing continuous input from [1.61 1.95] (s15) to s13\n",
      "    u = [[ 0.85602 -0.31889]\n",
      " [ 0.88973 -0.22037]\n",
      " [ 0.88765 -0.1761 ]\n",
      " [ 0.86661 -0.15038]\n",
      " [ 1.      -0.13426]]\n",
      "    Trajectory ends at [2.06 1.85] (s13)\n",
      "\n",
      "Time 9, Park signal = 0:\n",
      "    New controller state 16 {'X0reach': True, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [2.06 1.85] (s13) to s12\n",
      "    u = [[-0.03369 -0.89076]\n",
      " [-0.02998 -0.88431]\n",
      " [-0.04655 -0.88317]\n",
      " [-0.08749 -0.88946]\n",
      " [-0.90229 -0.9523 ]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 10, Park signal = 0:\n",
      "    New controller state 18 {'X0reach': False, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s12\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0. -0.]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 11, Park signal = 0:\n",
      "    New controller state 20 {'X0reach': False, 'lot': False, 'home': False, 'loc': 2}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s2\n",
      "    u = [[ 0.      -0.88925]\n",
      " [ 0.      -0.88269]\n",
      " [ 0.      -0.88241]\n",
      " [ 0.      -0.89039]\n",
      " [-0.      -0.95526]]\n",
      "    Trajectory ends at [1.95 0.95] (s2)\n",
      "\n",
      "Time 12, Park signal = 0:\n",
      "    New controller state 22 {'X0reach': False, 'lot': False, 'home': False, 'loc': 4}\n",
      "    Computing continuous input from [1.95 0.95] (s2) to s4\n",
      "    u = [[-0.33058 -0.89037]\n",
      " [-0.22668 -0.88375]\n",
      " [-0.17284 -0.88304]\n",
      " [-0.1434  -0.88991]\n",
      " [-0.1265  -0.95293]]\n",
      "    Trajectory ends at [1.85 0.5 ] (s4)\n",
      "\n",
      "Time 13, Park signal = 0:\n",
      "    New controller state 24 {'X0reach': False, 'lot': False, 'home': False, 'loc': 3}\n",
      "    Computing continuous input from [1.85 0.5 ] (s4) to s3\n",
      "    u = [[-0.92713  0.19233]\n",
      " [-0.88833  0.20079]\n",
      " [-0.87716  0.20354]\n",
      " [-0.87344  0.20297]\n",
      " [-0.93394  0.20038]]\n",
      "    Trajectory ends at [1.4 0.6] (s3)\n",
      "\n",
      "Time 14, Park signal = 0:\n",
      "    New controller state 6 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [1.4 0.6] (s3) to s1\n",
      "    u = [[-0.90607 -0.     ]\n",
      " [-0.87372  0.     ]\n",
      " [-0.87423 -0.     ]\n",
      " [-0.88912 -0.     ]\n",
      " [-0.95686  0.     ]]\n",
      "    Trajectory ends at [0.95 0.6 ] (s1)\n",
      "\n",
      "Time 15, Park signal = 0:\n",
      "    New controller state 8 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.95 0.6 ] (s1) to s26\n",
      "    u = [[0.02609 0.89807]\n",
      " [0.02559 0.89709]\n",
      " [0.02434 0.89909]\n",
      " [0.02398 0.90575]\n",
      " [1.      1.     ]]\n",
      "    Trajectory ends at [1.06 1.06] (s26)\n",
      "\n",
      "Time 16, Park signal = 1:\n",
      "    New controller state 11 {'X0reach': False, 'lot': False, 'home': False, 'loc': 5}\n",
      "    Computing continuous input from [1.06 1.06] (s26) to s5\n",
      "    u = [[0.84613 0.8692 ]\n",
      " [0.81975 0.8566 ]\n",
      " [0.837   0.88409]\n",
      " [0.90183 0.89011]\n",
      " [0.99528 1.     ]]\n",
      "    Trajectory ends at [1.5  1.51] (s5)\n",
      "\n",
      "Time 17, Park signal = 0:\n",
      "    New controller state 12 {'X0reach': False, 'lot': False, 'home': False, 'loc': 15}\n",
      "    Computing continuous input from [1.5  1.51] (s5) to s15\n",
      "    u = [[0.0233  0.87998]\n",
      " [0.02338 0.8742 ]\n",
      " [0.02441 0.86841]\n",
      " [0.02891 0.87139]\n",
      " [1.      0.90601]]\n",
      "    Trajectory ends at [1.61 1.95] (s15)\n",
      "\n",
      "Time 18, Park signal = 1:\n",
      "    New controller state 15 {'X0reach': False, 'lot': True, 'home': False, 'loc': 13}\n",
      "    Computing continuous input from [1.61 1.95] (s15) to s13\n",
      "    u = [[ 0.85602 -0.31889]\n",
      " [ 0.88973 -0.22037]\n",
      " [ 0.88765 -0.1761 ]\n",
      " [ 0.86661 -0.15038]\n",
      " [ 1.      -0.13426]]\n",
      "    Trajectory ends at [2.06 1.85] (s13)\n",
      "\n",
      "Time 19, Park signal = 0:\n",
      "    New controller state 16 {'X0reach': True, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [2.06 1.85] (s13) to s12\n",
      "    u = [[-0.03369 -0.89076]\n",
      " [-0.02998 -0.88431]\n",
      " [-0.04655 -0.88317]\n",
      " [-0.08749 -0.88946]\n",
      " [-0.90229 -0.9523 ]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 20, Park signal = 0:\n",
      "    New controller state 18 {'X0reach': False, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s12\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0. -0.]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 21, Park signal = 1:\n",
      "    New controller state 21 {'X0reach': False, 'lot': False, 'home': False, 'loc': 2}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s2\n",
      "    u = [[ 0.      -0.88925]\n",
      " [ 0.      -0.88269]\n",
      " [ 0.      -0.88241]\n",
      " [ 0.      -0.89039]\n",
      " [-0.      -0.95526]]\n",
      "    Trajectory ends at [1.95 0.95] (s2)\n",
      "\n",
      "Time 22, Park signal = 1:\n",
      "    New controller state 23 {'X0reach': False, 'lot': False, 'home': False, 'loc': 4}\n",
      "    Computing continuous input from [1.95 0.95] (s2) to s4\n",
      "    u = [[-0.33058 -0.89037]\n",
      " [-0.22668 -0.88375]\n",
      " [-0.17284 -0.88304]\n",
      " [-0.1434  -0.88991]\n",
      " [-0.1265  -0.95293]]\n",
      "    Trajectory ends at [1.85 0.5 ] (s4)\n",
      "\n",
      "Time 23, Park signal = 1:\n",
      "    New controller state 25 {'X0reach': False, 'lot': False, 'home': False, 'loc': 3}\n",
      "    Computing continuous input from [1.85 0.5 ] (s4) to s3\n",
      "    u = [[-0.92713  0.19233]\n",
      " [-0.88833  0.20079]\n",
      " [-0.87716  0.20354]\n",
      " [-0.87344  0.20297]\n",
      " [-0.93394  0.20038]]\n",
      "    Trajectory ends at [1.4 0.6] (s3)\n",
      "\n",
      "Time 24, Park signal = 0:\n",
      "    New controller state 6 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [1.4 0.6] (s3) to s1\n",
      "    u = [[-0.90607 -0.     ]\n",
      " [-0.87372  0.     ]\n",
      " [-0.87423 -0.     ]\n",
      " [-0.88912 -0.     ]\n",
      " [-0.95686  0.     ]]\n",
      "    Trajectory ends at [0.95 0.6 ] (s1)\n",
      "\n",
      "Time 25, Park signal = 1:\n",
      "    New controller state 9 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.95 0.6 ] (s1) to s26\n",
      "    u = [[0.02609 0.89807]\n",
      " [0.02559 0.89709]\n",
      " [0.02434 0.89909]\n",
      " [0.02398 0.90575]\n",
      " [1.      1.     ]]\n",
      "    Trajectory ends at [1.06 1.06] (s26)\n",
      "\n",
      "Time 26, Park signal = 0:\n",
      "    New controller state 10 {'X0reach': False, 'lot': False, 'home': False, 'loc': 5}\n",
      "    Computing continuous input from [1.06 1.06] (s26) to s5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    u = [[0.84613 0.8692 ]\n",
      " [0.81975 0.8566 ]\n",
      " [0.837   0.88409]\n",
      " [0.90183 0.89011]\n",
      " [0.99528 1.     ]]\n",
      "    Trajectory ends at [1.5  1.51] (s5)\n",
      "\n",
      "Time 27, Park signal = 0:\n",
      "    New controller state 12 {'X0reach': False, 'lot': False, 'home': False, 'loc': 15}\n",
      "    Computing continuous input from [1.5  1.51] (s5) to s15\n",
      "    u = [[0.0233  0.87998]\n",
      " [0.02338 0.8742 ]\n",
      " [0.02441 0.86841]\n",
      " [0.02891 0.87139]\n",
      " [1.      0.90601]]\n",
      "    Trajectory ends at [1.61 1.95] (s15)\n",
      "\n",
      "Time 28, Park signal = 1:\n",
      "    New controller state 15 {'X0reach': False, 'lot': True, 'home': False, 'loc': 13}\n",
      "    Computing continuous input from [1.61 1.95] (s15) to s13\n",
      "    u = [[ 0.85602 -0.31889]\n",
      " [ 0.88973 -0.22037]\n",
      " [ 0.88765 -0.1761 ]\n",
      " [ 0.86661 -0.15038]\n",
      " [ 1.      -0.13426]]\n",
      "    Trajectory ends at [2.06 1.85] (s13)\n",
      "\n",
      "Time 29, Park signal = 1:\n",
      "    New controller state 17 {'X0reach': True, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [2.06 1.85] (s13) to s12\n",
      "    u = [[-0.03369 -0.89076]\n",
      " [-0.02998 -0.88431]\n",
      " [-0.04655 -0.88317]\n",
      " [-0.08749 -0.88946]\n",
      " [-0.90229 -0.9523 ]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 30, Park signal = 0:\n",
      "    New controller state 18 {'X0reach': False, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s12\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0. -0.]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 31, Park signal = 1:\n",
      "    New controller state 21 {'X0reach': False, 'lot': False, 'home': False, 'loc': 2}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s2\n",
      "    u = [[ 0.      -0.88925]\n",
      " [ 0.      -0.88269]\n",
      " [ 0.      -0.88241]\n",
      " [ 0.      -0.89039]\n",
      " [-0.      -0.95526]]\n",
      "    Trajectory ends at [1.95 0.95] (s2)\n",
      "\n",
      "Time 32, Park signal = 1:\n",
      "    New controller state 23 {'X0reach': False, 'lot': False, 'home': False, 'loc': 4}\n",
      "    Computing continuous input from [1.95 0.95] (s2) to s4\n",
      "    u = [[-0.33058 -0.89037]\n",
      " [-0.22668 -0.88375]\n",
      " [-0.17284 -0.88304]\n",
      " [-0.1434  -0.88991]\n",
      " [-0.1265  -0.95293]]\n",
      "    Trajectory ends at [1.85 0.5 ] (s4)\n",
      "\n",
      "Time 33, Park signal = 0:\n",
      "    New controller state 24 {'X0reach': False, 'lot': False, 'home': False, 'loc': 3}\n",
      "    Computing continuous input from [1.85 0.5 ] (s4) to s3\n",
      "    u = [[-0.92713  0.19233]\n",
      " [-0.88833  0.20079]\n",
      " [-0.87716  0.20354]\n",
      " [-0.87344  0.20297]\n",
      " [-0.93394  0.20038]]\n",
      "    Trajectory ends at [1.4 0.6] (s3)\n",
      "\n",
      "Time 34, Park signal = 0:\n",
      "    New controller state 6 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [1.4 0.6] (s3) to s1\n",
      "    u = [[-0.90607 -0.     ]\n",
      " [-0.87372  0.     ]\n",
      " [-0.87423 -0.     ]\n",
      " [-0.88912 -0.     ]\n",
      " [-0.95686  0.     ]]\n",
      "    Trajectory ends at [0.95 0.6 ] (s1)\n",
      "\n",
      "Time 35, Park signal = 0:\n",
      "    New controller state 8 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.95 0.6 ] (s1) to s26\n",
      "    u = [[0.02609 0.89807]\n",
      " [0.02559 0.89709]\n",
      " [0.02434 0.89909]\n",
      " [0.02398 0.90575]\n",
      " [1.      1.     ]]\n",
      "    Trajectory ends at [1.06 1.06] (s26)\n",
      "\n",
      "Time 36, Park signal = 1:\n",
      "    New controller state 11 {'X0reach': False, 'lot': False, 'home': False, 'loc': 5}\n",
      "    Computing continuous input from [1.06 1.06] (s26) to s5\n",
      "    u = [[0.84613 0.8692 ]\n",
      " [0.81975 0.8566 ]\n",
      " [0.837   0.88409]\n",
      " [0.90183 0.89011]\n",
      " [0.99528 1.     ]]\n",
      "    Trajectory ends at [1.5  1.51] (s5)\n",
      "\n",
      "Time 37, Park signal = 0:\n",
      "    New controller state 12 {'X0reach': False, 'lot': False, 'home': False, 'loc': 15}\n",
      "    Computing continuous input from [1.5  1.51] (s5) to s15\n",
      "    u = [[0.0233  0.87998]\n",
      " [0.02338 0.8742 ]\n",
      " [0.02441 0.86841]\n",
      " [0.02891 0.87139]\n",
      " [1.      0.90601]]\n",
      "    Trajectory ends at [1.61 1.95] (s15)\n",
      "\n",
      "Time 38, Park signal = 0:\n",
      "    New controller state 14 {'X0reach': False, 'lot': True, 'home': False, 'loc': 13}\n",
      "    Computing continuous input from [1.61 1.95] (s15) to s13\n",
      "    u = [[ 0.85602 -0.31889]\n",
      " [ 0.88973 -0.22037]\n",
      " [ 0.88765 -0.1761 ]\n",
      " [ 0.86661 -0.15038]\n",
      " [ 1.      -0.13426]]\n",
      "    Trajectory ends at [2.06 1.85] (s13)\n",
      "\n",
      "Time 39, Park signal = 1:\n",
      "    New controller state 17 {'X0reach': True, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [2.06 1.85] (s13) to s12\n",
      "    u = [[-0.03369 -0.89076]\n",
      " [-0.02998 -0.88431]\n",
      " [-0.04655 -0.88317]\n",
      " [-0.08749 -0.88946]\n",
      " [-0.90229 -0.9523 ]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 40, Park signal = 1:\n",
      "    New controller state 19 {'X0reach': False, 'lot': False, 'home': False, 'loc': 12}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s12\n",
      "    u = [[ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0.  0.]\n",
      " [ 0. -0.]]\n",
      "    Trajectory ends at [1.95 1.4 ] (s12)\n",
      "\n",
      "Time 41, Park signal = 1:\n",
      "    New controller state 21 {'X0reach': False, 'lot': False, 'home': False, 'loc': 2}\n",
      "    Computing continuous input from [1.95 1.4 ] (s12) to s2\n",
      "    u = [[ 0.      -0.88925]\n",
      " [ 0.      -0.88269]\n",
      " [ 0.      -0.88241]\n",
      " [ 0.      -0.89039]\n",
      " [-0.      -0.95526]]\n",
      "    Trajectory ends at [1.95 0.95] (s2)\n",
      "\n",
      "Time 42, Park signal = 0:\n",
      "    New controller state 22 {'X0reach': False, 'lot': False, 'home': False, 'loc': 4}\n",
      "    Computing continuous input from [1.95 0.95] (s2) to s4\n",
      "    u = [[-0.33058 -0.89037]\n",
      " [-0.22668 -0.88375]\n",
      " [-0.17284 -0.88304]\n",
      " [-0.1434  -0.88991]\n",
      " [-0.1265  -0.95293]]\n",
      "    Trajectory ends at [1.85 0.5 ] (s4)\n",
      "\n",
      "Time 43, Park signal = 0:\n",
      "    New controller state 24 {'X0reach': False, 'lot': False, 'home': False, 'loc': 3}\n",
      "    Computing continuous input from [1.85 0.5 ] (s4) to s3\n",
      "    u = [[-0.92383  0.19226]\n",
      " [-0.88913  0.20082]\n",
      " [-0.87807  0.20359]\n",
      " [-0.87465  0.20298]\n",
      " [-0.93431  0.20035]]\n",
      "    Trajectory ends at [1.4 0.6] (s3)\n",
      "\n",
      "Time 44, Park signal = 1:\n",
      "    New controller state 7 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [1.4 0.6] (s3) to s1\n",
      "    u = [[-0.90607 -0.     ]\n",
      " [-0.87372  0.     ]\n",
      " [-0.87423 -0.     ]\n",
      " [-0.88912 -0.     ]\n",
      " [-0.95686  0.     ]]\n",
      "    Trajectory ends at [0.95 0.6 ] (s1)\n",
      "\n",
      "Time 45, Park signal = 0:\n",
      "    New controller state 6 {'X0reach': False, 'lot': False, 'home': True, 'loc': 1}\n",
      "    Computing continuous input from [0.95 0.6 ] (s1) to s1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/murray/src/tulip-control/polytope/polytope/solvers.py:141: OptimizeWarning: Solving system with option 'cholesky':True failed. It is normal for this to happen occasionally, especially as the solution is approached. However, if you see this frequently, consider setting option 'cholesky' to False.\n",
      "  None, None, bounds=(None, None))\n",
      "/Users/murray/src/tulip-control/polytope/polytope/solvers.py:141: OptimizeWarning: Solving system with option 'sym_pos':True failed. It is normal for this to happen occasionally, especially as the solution is approached. However, if you see this frequently, consider setting option 'sym_pos' to False.\n",
      "  None, None, bounds=(None, None))\n",
      "/Users/murray/anaconda3/envs/python3.7-tulip/lib/python3.7/site-packages/scipy-1.3.0-py3.7-macosx-10.7-x86_64.egg/scipy/optimize/_linprog_ip.py:110: LinAlgWarning: Ill-conditioned matrix (rcond=6.29017e-36): result may not be accurate.\n",
      "  return sp.linalg.solve(M, r, sym_pos=sym_pos)\n",
      "/Users/murray/anaconda3/envs/python3.7-tulip/lib/python3.7/site-packages/scipy-1.3.0-py3.7-macosx-10.7-x86_64.egg/scipy/optimize/_linprog_ip.py:110: LinAlgWarning: Ill-conditioned matrix (rcond=3.6666e-20): result may not be accurate.\n",
      "  return sp.linalg.solve(M, r, sym_pos=sym_pos)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    u = [[ 0. -0.]\n",
      " [ 0.  0.]\n",
      " [ 0. -0.]\n",
      " [ 0.  0.]\n",
      " [-0.  0.]]\n",
      "    Trajectory ends at [0.95 0.6 ] (s1)\n",
      "\n",
      "Time 46, Park signal = 1:\n",
      "    New controller state 9 {'X0reach': False, 'lot': False, 'home': False, 'loc': 26}\n",
      "    Computing continuous input from [0.95 0.6 ] (s1) to s26\n",
      "    u = [[0.02609 0.89807]\n",
      " [0.02559 0.89709]\n",
      " [0.02434 0.89909]\n",
      " [0.02398 0.90575]\n",
      " [1.      1.     ]]\n",
      "    Trajectory ends at [1.06 1.06] (s26)\n",
      "\n",
      "Time 47, Park signal = 0:\n",
      "    New controller state 10 {'X0reach': False, 'lot': False, 'home': False, 'loc': 5}\n",
      "    Computing continuous input from [1.06 1.06] (s26) to s5\n",
      "    u = [[0.84613 0.8692 ]\n",
      " [0.81975 0.8566 ]\n",
      " [0.837   0.88409]\n",
      " [0.90183 0.89011]\n",
      " [0.99528 1.     ]]\n",
      "    Trajectory ends at [1.5  1.51] (s5)\n",
      "\n",
      "Time 48, Park signal = 1:\n",
      "    New controller state 13 {'X0reach': False, 'lot': False, 'home': False, 'loc': 15}\n",
      "    Computing continuous input from [1.5  1.51] (s5) to s15\n",
      "    u = [[0.0233  0.87998]\n",
      " [0.02338 0.8742 ]\n",
      " [0.02441 0.86841]\n",
      " [0.02891 0.87139]\n",
      " [1.      0.90601]]\n",
      "    Trajectory ends at [1.61 1.95] (s15)\n",
      "\n",
      "Time 49, Park signal = 1:\n",
      "    New controller state 15 {'X0reach': False, 'lot': True, 'home': False, 'loc': 13}\n",
      "    Computing continuous input from [1.61 1.95] (s15) to s13\n",
      "    u = [[ 0.85602 -0.31889]\n",
      " [ 0.88973 -0.22037]\n",
      " [ 0.88765 -0.1761 ]\n",
      " [ 0.86661 -0.15038]\n",
      " [ 1.      -0.13426]]\n",
      "    Trajectory ends at [2.06 1.85] (s13)\n"
     ]
    }
   ],
   "source": [
    "# Initialization:\n",
    "#     pick initial continuous state consistent with\n",
    "#     initial controller state (discrete)\n",
    "u, v, edge_data = list(ctrl.edges('Sinit', data=True))[1]\n",
    "s0_part = edge_data['loc']\n",
    "init_poly_v = poly.extreme(disc_dynamics.ppp[s0_part][0])\n",
    "x_init = sum(init_poly_v) / init_poly_v.shape[0]\n",
    "\n",
    "s0_part = tlp.abstract.find_controller.find_discrete_state(\n",
    "    [x_init[0], x_init[1]], disc_dynamics.ppp)\n",
    "print(\"Initial system  state:\", x_init[0], x_init[1], \"(s%d)\" % s0_part)\n",
    "print(\"Initial controller discrete state:\", 'Sinit')\n",
    "\n",
    "# Create a deterministic controller from the initial condition\n",
    "ctrl = tlp.synth.determinize_machine_init(ctrl, {'loc': s0_part})\n",
    "\n",
    "# Set up initial condition for simulation\n",
    "x = [x_init[0]]\n",
    "y = [x_init[1]]\n",
    "N = disc_dynamics.disc_params['N']\n",
    "s, dum  = ctrl.reaction('Sinit', {'park': randParkSignal[0]})\n",
    "print(\"Initialize, Park signal = %d: new controller state\" % randParkSignal[0], s, dum)\n",
    "\n",
    "# Now \"run\" the simulation by iterating over each time step\n",
    "for i in range(0, T):\n",
    "    # Compute the next (discrete) controller state\n",
    "    s, dum = ctrl.reaction(s, {'park': randParkSignal[i]})\n",
    "    print(\"\\nTime %d, Park signal = %d:\" % (i, randParkSignal[i]))\n",
    "    print(\"    New controller state\", s, dum)\n",
    "    \n",
    "    # Find the continous input fro the controller\n",
    "    print(\"    Computing continuous input from\", \n",
    "          np.array([x[-1], y[-1]]), \"(s%d)\" % \n",
    "          tlp.abstract.find_controller.find_discrete_state(\n",
    "            [x[-1], y[-1]], disc_dynamics.ppp),\n",
    "          \"to s%d\" % disc_dynamics.ppp2ts.index(dum['loc']))\n",
    "    u = tlp.abstract.find_controller.get_input(\n",
    "            x0=np.array([x[-1], y[-1]]),\n",
    "            ssys=sys_dyn,\n",
    "            abstraction=disc_dynamics,\n",
    "            start=s0_part,\n",
    "            end=disc_dynamics.ppp2ts.index(dum['loc']),\n",
    "            ord=1, mid_weight=50, solver='scipy')\n",
    "    print(\"    u =\", u)\n",
    "    \n",
    "    # Compute the trajectory of the system via discrete time simulation\n",
    "    for ind in range(N):\n",
    "        s_now = np.dot(\n",
    "            sys_dyn.A, [x[-1], y[-1]]\n",
    "        ) + np.dot(sys_dyn.B, u[ind])\n",
    "        x.append(s_now[0])\n",
    "        y.append(s_now[1])\n",
    "        \n",
    "    # Figure out the final discrete state at the end of the motion\n",
    "    s0_part = tlp.abstract.find_controller.find_discrete_state(\n",
    "        [x[-1], y[-1]], disc_dynamics.ppp)\n",
    "    s0_loc = disc_dynamics.ppp2ts[s0_part]\n",
    "    print(\"    Trajectory ends at\", np.array([x[-1], y[-1]]), \"(s%d)\" % s0_part)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x121282e50>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1, 1, 1)\n",
    "plt.plot(range(len(x)), x)\n",
    "plt.plot(range(len(y)), y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1, 1, 1)\n",
    "plt.plot(x, y)\n",
    "plt.text(x[0], y[0], 'S')\n",
    "plt.text(x[-1], y[-1], 'E');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Animation\n",
    "\n",
    "TBD."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}