Global output-feedback stabilization for a class of generalized stochastic nonlinear systems

Author

Jin Shaoli ; Liu Yungang

Author_Institution

Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China

fYear

2014

fDate

28-30 July 2014

Firstpage

5294

Lastpage

5299

Abstract

This paper investigates the global output-feedback stabilization for a class of generalized stochastic nonlinear systems. In this paper, the systems possess the control coefficients which are functions of output, and hence are essentially different from the existing related works. An appropriate reduced-order observer is first introduced to rebuild the unmeasurable system states, and then an output-feedback controller is successfully designed by using the backstepping method, which guarantees that the closed-loop system is globally asymptotically stable in probability.

Keywords

asymptotic stability; closed loop systems; control system synthesis; feedback; nonlinear control systems; observers; probability; reduced order systems; stochastic systems; asymptotic stability; backstepping method; closed-loop system; control coefficients; generalized stochastic nonlinear systems; global output-feedback stabilization; output-feedback controller design; probability; reduced-order observer; Backstepping; Control design; Educational institutions; Nonlinear systems; Observers; Stability analysis; Trajectory; Global stabilization; Output-feedback; Reduced-order observer; Stochastic nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895842

Filename

6895842