DocumentCode
550692
Title
Robust predictive control for a class of uncertain discrete system with multiple state delays
Author
Zhao Jun-Cheng ; Fang Yi-Ming ; Li Jian-Xiong
Author_Institution
Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao, China
fYear
2011
fDate
22-24 July 2011
Firstpage
3372
Lastpage
3376
Abstract
A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii function and using linear matrix inequality (LMI) method, the algorithm can convert the infinite time domain optimization problems into linear programming problems. Sufficient conditions of the existence and explicit expression for the memory state feedback controller are obtained, and the control input can satisfy constraint as well. Asymptotical stability of the closed-loop system and minimum of robust performance index can be guaranteed simultaneously. Finally, the simulation results illustrate the effectiveness of the proposed algorithm.
Keywords
Lyapunov methods; asymptotic stability; closed loop systems; delays; discrete systems; discrete time systems; linear matrix inequalities; linear programming; performance index; predictive control; robust control; state feedback; uncertain systems; Lyapunov-Krasovskii function; asymptotical stability; closed loop system; infinite time domain optimization problems; input constraint; linear matrix inequality method; linear programming problems; memory state feedback controller; multiple state delay; robust performance index; robust predictive control algorithm; uncertain discrete system; uncertain discrete time system; Delay; Mathematical model; Prediction algorithms; Predictive control; Predictive models; Robustness; State feedback; LMI; Memory State Feedback; Multiple State Delays; Robust Predictive Control; Uncertain System;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6001031
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