DocumentCode :
1764069
Title :
l2-l reliable control for discrete time-delay systems with fractional uncertainties and saturated package losses
Author :
Zhen´na Li ; Huisheng Shu ; Xiu Kan
Author_Institution :
Sch. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Volume :
8
Issue :
11
fYear :
2014
fDate :
July 17 2014
Firstpage :
891
Lastpage :
900
Abstract :
This study deals with the ℓ2-ℓ reliable control problem for a class of discrete time-delay systems. The considered system involves fractional uncertainties, saturated package losses and stochastic non-linearities as well as possible actuator failures. A sensor model is proposed to depict the phenomenon of saturated package losses which better reflect the reality in a networked environment. In addition, stochastic non-linearities with statistical characteristics cover several well-studied non-linear functions as special cases. The focus of this study is placed upon the design of a reliable controller such that the closed-loop system satisfies a prescribed noise attenuation level in an ℓ2-ℓ sense. By utilising stochastic analysis methods, some sufficient conditions are established to guarantee both the exponentially mean-square stability and the ℓ2-ℓ performance. Owing to the obtained conditions with a non-linear equality constraint, the cone complementary linearisation method is exploited to cast them into a convex optimisation problem, which can be readily solved by using standard numerical software. Finally, a simulation example is exploited to demonstrate the applicability of the proposed design approach.
Keywords :
closed loop systems; control nonlinearities; control system synthesis; delay systems; discrete time systems; mean square error methods; optimisation; stability; stochastic processes; uncertain systems; ℓ2-ℓ reliable control; closed-loop system; cone complementary linearisation method; convex optimisation problem; discrete time-delay systems; exponentially mean-square stability; fractional uncertainties; nonlinear functions; saturated package losses; sensor model; standard numerical software; stochastic analysis method; stochastic nonlinearities;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2013.0987
Filename :
6858339
Link To Document :
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