DocumentCode :
115448
Title :
Robust finite-time bounded H control for a class of nonlinear quadratic Markovian jump systems
Author :
Jun Cheng ; Hong Zhu ; Shouming Zhong ; Yong Zeng ; Yuping Zhang
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
4316
Lastpage :
4321
Abstract :
This paper is concerned with the finite-time stabilization problem for a class of nonlinear quadratic Markovian jump systems (MJSs) subject to feedback control gain perturbations. By using the stochastic quadratic Lyapunov function, sufficient conditions are given for the existence of desired controller gains as well as probability rate matrices. The obtained results are established by employing a set of linear matrix inequalities (LMIs)-based algorithm and a convex optimization problem. At last, two examples are given to demonstrate the feasibility and effectiveness of the proposed method.
Keywords :
H control; Lyapunov methods; Markov processes; convex programming; feedback; linear matrix inequalities; nonlinear control systems; perturbation techniques; probability; robust control; stochastic systems; LMI-based algorithm; MJS; controller gains; convex optimization problem; feedback control gain perturbations; finite time stabilization problem; linear matrix inequalities; nonlinear quadratic Markovian jump system; probability rate matrices; robust finite-time bounded H control; stochastic quadratic Lyapunov function; sufficient conditions; Control systems; Convex functions; Educational institutions; Linear matrix inequalities; Lyapunov methods; Silicon; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7040062
Filename :
7040062
Link To Document :
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