DocumentCode :
3573421
Title :
Robust H-inf control of distributed networked control systems with variable structure and partly networked information
Author :
Yang Ge ; Jingcheng Wang ; Kang Li
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2014
Firstpage :
4420
Lastpage :
4425
Abstract :
In this paper, the distributed networked control systems (DNCSs) are considered. The states of each sub-system are divided into the exact local parts and the inexact remote ones, which are transported through a communication network from other sub-systems. Such information will be quantized and may be lost during the transporting. Moreover, variable structure of the DNCSs is also considered and a Markov process is used to model such situation. Based on Lyapunov-Krasovskii (L-K) approach, a mode-based state feedback controller is proposed to stable such DNCSs and to meet the robust H-inf performance in terms of bilinear matrix inequalities (BMIs). Further, a cone complementary algorithm is given. Finally, the proposed method is validated through a simulation example.
Keywords :
H control; Lyapunov methods; Markov processes; distributed control; linear matrix inequalities; networked control systems; robust control; state feedback; variable structure systems; BMI; DNCS; L-K approach; Lyapunov-Krasovskii approach; Markov process; bilinear matrix inequality; communication network; cone complementary algorithm; distributed networked control system; mode-based state feedback controller; partly networked information; robust H-inf control; robust H-inf performance; variable structure; Markov processes; Networked control systems; Quantization (signal); Robustness; State feedback; Symmetric matrices; Uncertainty; distributed networked control systems; networked information; variable structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053457
Filename :
7053457
Link To Document :
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