A Separation Principle for Distributed Control

A linear quadratic control problem is considered, where several different controllers act as a team, but with access to different measurements. The state feedback solution obtained in a previous paper is here extended to output feedback and a separation principle is proved. The condition that certai...

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Bibliographic Details
Published inProceedings of the 45th IEEE Conference on Decision and Control pp. 3609 - 3613
Main Author Rantzer, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2006
Subjects
Constraint theory
Distributed control
Linear feedback control systems
Noise generators
Noise measurement
Optimal control
Output feedback
State estimation
State feedback
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ISBN9781424401710
1424401712
ISSN0191-2216
DOI10.1109/CDC.2006.376734

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Summary:A linear quadratic control problem is considered, where several different controllers act as a team, but with access to different measurements. The state feedback solution obtained in a previous paper is here extended to output feedback and a separation principle is proved. The condition that certain measurements are unavailable to some state estimators is enforced by imposing a requirement that the generated estimates must be insensitive to the changes in corresponding covariances between measurement noise and process noise
ISBN:9781424401710
1424401712
ISSN:0191-2216
DOI:10.1109/CDC.2006.376734