DocumentCode :
2537309
Title :
Stability of receding horizon control of Markov jump linear systems without jump observations
Author :
Costa, Eduardo E. ; do Val, Joao B. R.
Author_Institution :
Fac. de Engenharia Eletrica e de Comput., UNICAMP, Campinas, Brazil
Volume :
6
fYear :
2000
fDate :
2000
Firstpage :
4289
Abstract :
This paper addresses the stability of receding horizon control for discrete-time Markov jump linear systems assuming no observation on the jump variable and complete observation of the linear state. Linear feedback is employed, and it is shown that the quadratic N-stage cost functional provides a test for the stability in the mean square sense. The resulting stability condition relies on the idea of a sufficient large horizon length and an observability concept is developed to assure the existence of such an horizon
Keywords :
Markov processes; discrete time systems; feedback; linear systems; model reference adaptive control systems; predictive control; stability criteria; stochastic systems; discrete-time Markov jump linear systems; linear state observation; mean square stability; quadratic N-stage cost functional; receding horizon control; Control system synthesis; Control systems; Cost function; Ear; Feedback control; Linear systems; Lyapunov method; Observability; Stability; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.877030
Filename :
877030
Link To Document :
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