DocumentCode
2845765
Title
Sufficient and necessary condition for stabilization of jump linear systems with noise
Author
Feng, Liu ; Liu, Z. ; Dong, H.B.
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
fYear
2010
fDate
26-28 May 2010
Firstpage
2804
Lastpage
2807
Abstract
The adaptive stabilization problem of linear systems with unknown parameters and 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 and necessary condition characterizing the adaptive stabilizability of the system is found. It is worth mentioning that a constructive method for designing stabilizing feedback law is provided in this paper.
Keywords
adaptive systems; continuous time systems; control system synthesis; feedback; hidden Markov models; linear systems; stability; adaptive stabilization; continuous time system; feedback law; finite-state process; hidden Markov process; jump linear system; noise model; Adaptive control; Design methodology; Extraterrestrial measurements; Feedback; Finance; Hidden Markov models; Linear systems; Markov processes; Optimal control; Riccati equations; Nonlinear Kalman filter; Stabilization; jump linear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498704
Filename
5498704
Link To Document