Difference between revisions of "HYCON-EECI, Spring 2008"

From MurrayWiki
Jump to: navigation, search
 
Line 7: Line 7:
 
</table>
 
</table>
  
<table align=right><tr><td>__TOC__</table>
+
{{righttoc}}
 +
Increases in fast and inexpensive computing and communications have enabled a new generation
 +
information-rich control systems that rely on multi-threaded networked execution, distributed
 +
optimization, adaptation and learning, and contingency management in increasingly sophisticated
 +
ways. This set of lectures will provide an introduction to the theory and tools for building such
 +
systems, focusing on the so-called “networked” control systems in which the components that form
 +
the system are connected through a communication network.  These lectures were developed as part of
 +
a [[CDS 270-2, Spring 2006|course at Caltech]] on “Networked  Control Systems”, first offered in Spring 2006. 
 +
 
<table cellspacing=0 cellpadding=0>
 
<table cellspacing=0 cellpadding=0>
 
<tr valign=top>
 
<tr valign=top>
Line 15: Line 23:
 
* [[Media:hycon-eeci_syllabus_sp08.pdf|Course syllabus]]
 
* [[Media:hycon-eeci_syllabus_sp08.pdf|Course syllabus]]
 
</table>
 
</table>
<br clear=both>
 
  
 
== Course Schedule ==
 
== Course Schedule ==
 +
1. Networked embedded systems programming 
 +
2. Real-time trajectory generation and receding horizon control 
 +
3. Moving horizon estimation and sensor fusion 
 +
4. Packet-based estimation and control 
 +
5. Distributed estimation and control 
 +
6. Cooperative control of multi-agent systems 
 +
 +
Applications: 
 +
1. Autonomous driving (based on DARPA Grand Challenge) 
 +
2. Cooperative control of unmanned aerial vehicles
  
 
[[Category:Courses]] [[Category:2007-08 Courses]]
 
[[Category:Courses]] [[Category:2007-08 Courses]]

Revision as of 05:26, 10 March 2008

Eecilogo.png Networked Control Systems Cdslogo.png
Spring 2006

Increases in fast and inexpensive computing and communications have enabled a new generation information-rich control systems that rely on multi-threaded networked execution, distributed optimization, adaptation and learning, and contingency management in increasingly sophisticated ways. This set of lectures will provide an introduction to the theory and tools for building such systems, focusing on the so-called “networked” control systems in which the components that form the system are connected through a communication network. These lectures were developed as part of a course at Caltech on “Networked Control Systems”, first offered in Spring 2006.

Course Schedule

1. Networked embedded systems programming 2. Real-time trajectory generation and receding horizon control 3. Moving horizon estimation and sensor fusion 4. Packet-based estimation and control 5. Distributed estimation and control 6. Cooperative control of multi-agent systems

Applications: 1. Autonomous driving (based on DARPA Grand Challenge) 2. Cooperative control of unmanned aerial vehicles