Abstract
The motivation for the work reported in this paper accrues from the necessity of finding stabilizing control laws for systems with randomly varying distributed delays. It reports the development of full and reduced order linear unbiased estimators for discrete-time stochastic parameter systems and shows how to parametrize the estimator gains to achieve a certain estimation error covariance. Both finite-time and steady-state estimators are considered. The results are potentially applicable to state-estimate feedback control schemes for such systems.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Editors | Anon |
| Volume | 1 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn Duration: Dec 11 1996 → Dec 13 1996 |
Other
| Other | Proceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) |
|---|---|
| City | Kobe, Jpn |
| Period | 12/11/96 → 12/13/96 |
All Science Journal Classification (ASJC) codes
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality