DocumentCode :
2254388
Title :
Decentralized robust H∞ model predictive control of discrete-time singular large-scale systems
Author :
Chan, Gao ; Hua, Liu Xiao
Author_Institution :
School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong, 264025, P.R. China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
4173
Lastpage :
4178
Abstract :
The paper is concerned with decentralized robust H∞ model predictive control for a class of discrete-time singular large-scale systems with external disturbance and input constraints. A synthesis method to design decentralized robust H∞ model predictive controller is proposed based on H∞ performance. By applying the Lyapunov stable theory and linear matrix inequalities(LMI) technique, the sufficient condition for the existence of the decentralized robust H∞ model predictive controller is given. On the basis of the proposed decentralized robust model predictive control approach, it can be proved that the closed-loop discrete-time singular large-scale system is stable, regular and causal. Finally, a numerical simulation is given to illustrate the proposed method.
Keywords :
Decentralized control; Large-scale systems; Optimization; Predictive control; Robustness; State feedback; Symmetric matrices; Decentralized control; H performance; Robust model predictive control; singular large scale systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7260282
Filename :
7260282
Link To Document :
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