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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| Published in | Proceedings of the 45th IEEE Conference on Decision and Control pp. 3609 - 3613 |
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| Main Author | |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.01.2006
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781424401710 1424401712 |
| ISSN | 0191-2216 |
| DOI | 10.1109/CDC.2006.376734 |
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| Abstract | 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 |
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| AbstractList | 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 |
| Author | Rantzer, A. |
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| Snippet | A linear quadratic control problem is considered, where several different controllers act as a team, but with access to different measurements. The state... |
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| StartPage | 3609 |
| SubjectTerms | Constraint theory Distributed control Linear feedback control systems Noise generators Noise measurement Optimal control Output feedback State estimation State feedback USA Councils |
| Title | A Separation Principle for Distributed Control |
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