DocumentCode :
2844029
Title :
Delay-distribution-dependent robust H control for discrete-time systems with stochastic delays
Author :
Zhang, Yijun ; Wang, Haimei ; Zeng, Zhenping
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
5663
Lastpage :
5668
Abstract :
The problem of robust H infin control design for a class of discrete-time linear systems with stochastic delays and parameter uncertainties is studied. Firstly, a new modeling method is presented. By utilizing a stochastic variable which satisfies Bernoulli random binary distribution, the probability distributions of time delays are translated into parameter matrices of the transferred model. Based on the established model, an appropriate Lyapunov-Krasovskii functional is developed to investigate the problem of robust mean-square stability and H infin control design. The effectiveness and applicability of the proposed method are demonstrated by two numerical examples.
Keywords :
Hinfin control; Lyapunov methods; control system synthesis; delays; discrete time systems; matrix algebra; mean square error methods; random processes; robust control; statistical distributions; stochastic systems; Bernoulli random binary distribution; Lyapunov-Krasovskii functional; delay-distribution-dependent robust Hinfin control; discrete-time linear systems; discrete-time systems; parameter matrices; parameter uncertainty; probability distributions; robust Hinfin control design; robust mean-square stability; stochastic delays; stochastic variable; time delays; Control design; Delay systems; Linear systems; Probability distribution; Robust control; Robust stability; Robustness; Stochastic processes; Stochastic systems; Uncertain systems; Delay-distribution-dependent; H control; cone complementarity; robust control; stochastic delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5195208
Filename :
5195208
Link To Document :
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