DocumentCode :
2837921
Title :
Stabilization of jump linear systems without noise
Author :
Feng, Liu ; Dong, H.B. ; Miaoyu
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4834
Lastpage :
4837
Abstract :
The adaptive stabilization problem of linear systems with unknown parameters and without noise models is studied in this paper, we investigate continuous time jump linear systems with a finite-state hidden Markov jump form process. A sufficient condition characterizing the adaptive stabilizability of the system is found, which hings on the existence of a set of algebraic coupled Riccati equations. It is worth mentioning that a constructive method for designing stabilizing feedback law is provided in this paper.
Keywords :
continuous time systems; control system synthesis; feedback; finite state machines; hidden Markov models; linear systems; stability; adaptive stabilization problem; algebraic coupled Riccati equations; continuous time jump linear systems; finite-state hidden Markov jump form process; jump linear system stabilization; noise models; stabilizing feedback law; Adaptive control; Design methodology; Feedback; Finance; Hidden Markov models; Linear systems; Markov processes; Optimal control; Riccati equations; Sufficient conditions; Stabilization; coupled Riccati equations; estimation; jump linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5194874
Filename :
5194874
Link To Document :
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