# Packet-based Control with Norm Bounded Uncertainties: Difference between revisions

No edit summary |
No edit summary |
||

Line 7: | Line 7: | ||

<!-- Include links to materials that you used in your lecture. At a minimum, this should include a link to your lecture presentation. You might also include links to MATLAB scripts or other source code that students would find useful --> | <!-- Include links to materials that you used in your lecture. At a minimum, this should include a link to your lecture presentation. You might also include links to MATLAB scripts or other source code that students would find useful --> | ||

<!-- Sample lecture link: * [[Media:L1-1_Intro.pdf|Lecture: Networked Control Systems: Course Overview]] --> | <!-- Sample lecture link: * [[Media:L1-1_Intro.pdf|Lecture: Networked Control Systems: Course Overview]] --> | ||

* [[Media:270_2 Lecture_Ling.pdf |Lecture: Packet-based Estimation II ]] | * [[Media:270_2 Lecture_Ling.pdf |Lecture: Packet-based Estimation and Control II ]] | ||

== Reading == | == Reading == |

## Revision as of 00:40, 29 April 2006

Prev: Packet-based Control: UDP Case | Course Home | Next: Estimation Over Wireless Links |

In this lecture, we (to be filled)

## Lecture Materials

## Reading

Kalman Filtering with Intermittent Observations, B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, M. Jordan and S. Sastry. This is the paper where all the proofs reside. Below I posted Chapter 3 of my thesis, which is essentially the same, but the notation is more consistent with the next two lectures.

Optimal Estimation in Lossy Networks This is chapter 3 of my thesis. Content is almost the same as the paper above, but notation is slightly modified to be consistent with the control part.

## Additional Resources

The Kalman Filter, G. Welch and G. Bishop. A webpage with many links on Kalman filter.

Optimal Filtering, B.D.O Anderson and J.B. Moore. Dover Books on Engineering, 2005. A reissue of a book from 1979. It contains a detailed mathematical presentation of filtering problems and the Kalman filter. A very good book.