Decentralized adaptive control of large-scale stochastic nonlinear systems in parametric non-strict-feedback forms

Author

Wu, Sai ; Zhang, Chengke ; Sun, Youfa

Author_Institution

Sch. of Manage., Guangdong Univ. of Technol., Guangzhou, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2543

Lastpage

2546

Abstract

In this paper, decentralized adaptive control problem is studied for a class of stochastic nonlinear large-scale systems in parametric non-strict-feedback forms. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, the adaptive state feedback decentralized controller and parameters adaptive law are developed. It is shown that such an adaptive control scheme can guarantee that the closed-loop, large-scale, interconnected stochastic nonlinear system is globally bounded stable in probability.

Keywords

Lyapunov methods; adaptive control; closed loop systems; decentralised control; large-scale systems; nonlinear control systems; probability; stability; state feedback; stochastic systems; adaptive state feedback; backstepping design technique; closed-loop scheme; decentralized adaptive control; interconnected stochastic nonlinear system; large-scale stochastic nonlinear systems; parametric nonstrict-feedback forms; stochastic Lyapunov-like theorem; Adaptive control; Backstepping; Distributed control; Large-scale systems; Nonlinear systems; Power system interconnection; Programmable control; State feedback; Stochastic systems; Sun; Adaptive Control; Decentralized Control; State Feedback; Stochastic Large-scale Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498771

Filename

5498771