Decentralized adaptive stabilization of nonlinear interconnected stochastic systems by output feedback

Author

Fan, Huijin ; Xu, Li

Author_Institution

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

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

29

Lastpage

34

Abstract

This paper studies the stabilization problem for a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing filtered transformation, the stochastic Lyapunov-like theorem and the back-stepping design technique, a decentralized output-feedback controller and parameter adaptive law are proposed. It is proved that the closed-loop, large-scale, interconnected stochastic systems is globally asymptotically stable in probability.

Keywords

Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; control system synthesis; decentralised control; feedback; interconnected systems; nonlinear control systems; probability; stochastic systems; back-stepping design technique; closed-loop system; decentralized adaptive stabilization; decentralized output-feedback controller; filtered transformation; global asymptotic stability; large-scale system; nonlinear interconnected stochastic systems; output feedback; parameter adaptive law; probability; stochastic Lyapunov-like theorem; Adaptive control; Control systems; Differential equations; Interconnected systems; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2009. ICCA 2009. IEEE International Conference on

Conference_Location

Christchurch

Print_ISBN

978-1-4244-4706-0

Electronic_ISBN

978-1-4244-4707-7

Type

conf

DOI

10.1109/ICCA.2009.5410350

Filename

5410350