EECI09: Jump linear Markov processes - Revision history

Vijay at 14:08, 5 March 2009

2009-03-05T14:08:01Z

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	== Lecture Materials ==		== Lecture Materials ==
	* Lecture slides: [[Media:lecture_mjls.pdf\|~~lecture_mjls.pdf~~]]		* Lecture slides: [[Media:lecture_mjls.pdf\|Summary]]

	== Further Reading ==		== Further Reading ==

Murray at 05:41, 5 March 2009

2009-03-05T05:41:37Z

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	== Lecture Materials ==		== Lecture Materials ==
	* Lecture slides: ~~{{eeci-sp09~~ pdf\|lecture_mjls.pdf~~\|lecture_mjls}}~~		* Lecture slides: [[Media:lecture_mjls.pdf\|lecture_mjls.pdf]]

	== Further Reading ==		== Further Reading ==

Vijay at 02:19, 5 March 2009

2009-03-05T02:19:48Z

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	== Further Reading ==		== Further Reading ==
	* <p>[http://www.~~cds~~.~~caltech~~.edu/~~~murray~~/~~cdspanel Control~~ in ~~an Information Rich World~~], R. M. Murray (ed)~~. SIAM~~, ~~2003~~. This ~~book provides a high level description of some of~~ the ~~research challenges~~ and ~~opportunities in~~ the ~~field of control~~. The ~~executive summary (Section 1) and~~ the ~~application sections on "Information and Networks" and "Robotics and Intelligent Machines" (Section 3.2 and 3.3)~~ are ~~particularly relevant~~.</p>		* <p>[http://www.amazon.com/Discrete-Time-Markov-Systems-Probability-Applications/dp/1852337613/ref=sr_11_1?ie=UTF8&qid=1236218843&sr=11-1 Discrete-Time Markov Jump Linear Systems (Probability and its Applications)], O.L.V. Costa, M.D. Fragoso, and R.P. Marques. Springer, 2004. This book is a good introduction to Markov jump linear systems.</p>
	* <p>~~Second paper<~~/p>		* <p>[http://ee.nd.edu/faculty/vgupta/research/gchmaut05/publ.pdf On a Stochastic Sensor Selection Algorithm with Applications in Sensor Scheduling and Sensor Coverage], V. Gupta, T. Chung, B. Hassibi and R. M. Murray, Automatica, 42(2):251-260, February 2006. This paper presents the necessary and sufficient stability conditions for the estimation problem. The results for the LQR problem are dual to the results obtained here.</p>
			*<p>[http://www.control.lth.se/database/publications/article.pike?artkey=nilj98dis Real-Time Control Systems with Delays], J. Nilsson, Ph.D. Thesis, Department of Automatic Control, Lund University, 1998. This thesis extends the Markovian jump linear system framework to the case when the system mode defines a probability density function for the system matrices.

	== Additional Information ==		== Additional Information ==

Vijay at 02:05, 5 March 2009

2009-03-05T02:05:40Z

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	== Lecture Materials ==		== Lecture Materials ==
	* Lecture slides: {{eeci-sp09 pdf\|~~Ln_topic~~.pdf\|lecture_mjls}}		* Lecture slides: {{eeci-sp09 pdf\|lecture_mjls.pdf\|lecture_mjls}}

	== Further Reading ==		== Further Reading ==

Vijay at 02:05, 5 March 2009

2009-03-05T02:05:17Z

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	== Lecture Materials ==		== Lecture Materials ==
	* Lecture slides: {{eeci-sp09 pdf\|Ln_topic.pdf\|~~Title~~}}		* Lecture slides: {{eeci-sp09 pdf\|Ln_topic.pdf\|lecture_mjls}}
	* Links to anything else that is handed out in the lecture

	== Further Reading ==		== Further Reading ==

Vijay at 02:03, 5 March 2009

2009-03-05T02:03:18Z

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	{{righttoc}}		{{righttoc}}
	~~One paragraph~~ overview of the ~~lecture~~		In this lecture, we give a brief overview of Markovian jump linear systems. Such systems display multiple linear modes for the evolution of the state, and the modes are chosen stochastically. Such systems were important in the early development of networked control systems, where the communication channels were modeled as a Markov chain for effects such as delay and packet loss. As we will see in the next chapter, the one-block design problem for such systems can be studied in the framework of Markovian jump linear systems.

	== Lecture Materials ==		== Lecture Materials ==

Murray at 21:00, 1 March 2009

2009-03-01T21:00:41Z

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	{{eeci-sp09 header\|prev=~~Main Page~~\|next=~~Main Page~~}}		{{eeci-sp09 header\|prev=Information systems\|next=Packet loss}}

	{{righttoc}}		{{righttoc}}

Murray at 20:52, 1 March 2009

2009-03-01T20:52:39Z

New page

{{eeci-sp09 header|prev=Main Page|next=Main Page}}

{{righttoc}}
One paragraph overview of the lecture

== Lecture Materials ==
* Lecture slides: {{eeci-sp09 pdf|Ln_topic.pdf|Title}}
* Links to anything else that is handed out in the lecture

== Further Reading ==
* <p>[http://www.cds.caltech.edu/~murray/cdspanel Control in an Information Rich World], R. M. Murray (ed). SIAM, 2003. This book provides a high level description of some of the research challenges and opportunities in the field of control. The executive summary (Section 1) and the application sections on "Information and Networks" and "Robotics and Intelligent Machines" (Section 3.2 and 3.3) are particularly relevant.</p>
* <p>Second paper</p>

== Additional Information ==
* [http://home.cwru.edu/ncs/ Networked Control Systems Repository] (M. Branicky and S. Phillipps)
* [[EECI08: Introduction to Networked Control Systems|2008 lecture page]]
* Additional links to external information