Decentralized adaptive stabilization of stochastic nonlinear interconnected systems by state feedback

Author

Fan, Huijin ; Xie, Wenxiang

Author_Institution

Dept. Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2009

fDate

25-27 May 2009

Firstpage

1154

Lastpage

1158

Abstract

This paper studies a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, a decentralized controller and parameter adaptive law are proposed by state-feedback, which can globally stabilize the overall system asymptotically in probability.

Keywords

Lyapunov methods; adaptive control; asymptotic stability; decentralised control; interconnected systems; multivariable systems; nonlinear control systems; probability; state feedback; stochastic systems; adaptive control; asymptotic stability; backstepping design; decentralized adaptive stabilization; decentralized controller; global stability; parameter adaptive law; probability; state feedback; stochastic Lyapunov-like theorem; stochastic nonlinear interconnected system; Adaptive control; Control systems; Differential equations; Interconnected systems; Nonlinear control systems; Nonlinear systems; Programmable control; State feedback; Stochastic processes; Stochastic systems; Adaptive control; decentralized control; interconnected systems; stochastic system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138377

Filename

5138377