Difference between revisions of "CDS 101/110  System Modeling"
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This lecture provides an overview of modeling for control systems. We discuss what a model is and what types of questions it can be used to answer. The concepts of state, dynamics, inputs and outputs are described, including running examples to demonstrate the concepts. Several different modeling techniques are summarized, with emphasis on differential equations. Two examples are included to demonstrate the main concepts.  This lecture provides an overview of modeling for control systems. We discuss what a model is and what types of questions it can be used to answer. The concepts of state, dynamics, inputs and outputs are described, including running examples to demonstrate the concepts. Several different modeling techniques are summarized, with emphasis on differential equations. Two examples are included to demonstrate the main concepts.  
−  '''Wednesday:''' Modeling using Ordinary Differential Equation ({{cds101 handoutsL22_odes_h.pdfSlides}}, MP3)  +  '''Wednesday:''' Modeling using Ordinary Differential Equation ({{cds101 handoutsL22_odes_h.pdfSlides}}, [[Media:4Oct06.mp3MP3]]) 
A more complete description of modeling with differential and difference equations.  A more complete description of modeling with differential and difference equations.  
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'''Friday:''' {{cds101 lectureReview of Linear Algebra and ODE}} (Mary Dunlop)  '''Friday:''' {{cds101 lectureReview of Linear Algebra and ODE}} (Mary Dunlop)  
−  This lecture will provide a review of key concepts from linear algebra and differential equations, tuned to the needs of the course.  +  This lecture will provide a review of key concepts from linear algebra and differential equations, tuned to the needs of the course. 
== Handouts ==  == Handouts == 
Revision as of 19:25, 5 October 2006
See current course homepage to find most recent page available. 
CDS 101/110a  Schedule  Recitations  FAQ  () 
Contents 
Overview
Monday: Introduction to Modeling (Slides, MP3)
This lecture provides an overview of modeling for control systems. We discuss what a model is and what types of questions it can be used to answer. The concepts of state, dynamics, inputs and outputs are described, including running examples to demonstrate the concepts. Several different modeling techniques are summarized, with emphasis on differential equations. Two examples are included to demonstrate the main concepts.
Wednesday: Modeling using Ordinary Differential Equation (Slides, MP3)
A more complete description of modeling with differential and difference equations.
Friday: Review of Linear Algebra and ODE (Mary Dunlop)
This lecture will provide a review of key concepts from linear algebra and differential equations, tuned to the needs of the course.
Handouts
Monday

Wednesday (CDS 110)

Friday 
Reading
 K. J. Åström and R. M. Murray,, Preprint, 2006..
Homework
This homework set demonstrates the construction and use of models for control systems. The first problem asks the student to identify the states, inputs, outputs, and dynamics for a sample systems. The second problem consists of a detailed construction of a vehicle model that can be used for cruise control. The last two problems (CDS 110 only) explore different modeling techniques, including both discrete time, analytical, and MATLABbased analysis of dynamical systems.
 SIMULINK speed control module (for problem #2): hw1cruise.mdl,
FAQ
Monday
 Can a Lyapunov function be used to show/prove a system is unstable at an equilibrium point similar to the way it can be used to show asymp stability?
 How do we read the simulated predatorprey graph?
 How is the Internet a feedback system?
 I'm a 101/110 student. Can I sit in on the 210 lectures on Fridays without being enrolled in 210?
 In slide 12, what is special about the red cycle as opposed to the blue curves?
 In slide 9, why did you only linearize around the downward equilibrium point?
 Is q1 a function of time
 Is there any open source software we can use instead of MATLAB?
 What are the Di parameters in the power grid model?
 What does the 45 mean in ode45?
 What does the at symbol mean in front of a function in matlab?
 What is a finite state machine and how does it relate to the traffic example?
 What is the significance of having eigenvalues that are 0? I think I heard you say "in that case you don't know anything". Does that mean you cannot determine if the system is stable or asymptotically stable?
 What's the difference between control "over" network and control "of" network?
 Where can I find a theoretical definition of dynamical system?
 Why is dB defined as 20log 10?
 Why was there only one damper in the mass/spring model?
 You mentioned "aggressive" dynamics a couple of times. Please define. How/when is it useful?
 You said spiraling out to a bounded circle is unstable, but doesn't that still satisfy the epsilondelta condition of stability? Or are there limits on epsilon?
Wednesday
Friday
Homework
 CDS210 Problem 4 typo
 Do we have to consider complex states when trying to find equilibrium points analytically?
 In problem 3 (CDS 110), please use a different V2(x).
 Phaseplot
 Problem 1  Can I use Maple or Mathematica to solve this?
 Problem 1  Why don't the units work?
 Problem 2  Actuator block
 Problem 2  Saturation of signal u
 Problem 2b  Do I need to include the controller and feedback?
 Problem 3  Does "output get smaller as k gets larger" mean it gets more negative or more closer to zero?
 There are some problems with Ex 6
 Why are the initial conditions of the integrator and engine in hw1cruise.mdl set to 55*50?