Output-feedback adaptive DSC of stochastic nonlinear systems with time-delays

Author

Li, Dong-Juan ; Zhang, Jing ; Liu, Yan-Jun ; Luo, Nanhua ; Cui, Yang ; Liu, Lei

Author_Institution

Sch. of Chem. & Environ. Eng., Liaoning Univ. of Technol., Jinzhou, China

fYear

2012

fDate

June 30 2012-July 2 2012

Firstpage

253

Lastpage

257

Abstract

The dynamic surface control (DSC) technique can simplify the backstepping design for the control of nonlinear systems by overcoming the problem of “explosion of complexity”. In this paper, we incorporating this design technique into a neural network based adaptive control design framework for a class of nonlinear stochastic systems. The time delays exist in the systems and the neural networks are employed to compensate for all unknown nonlinear terms depending on the delayed output, and our development is able to eliminate the problem of “explosion of complexity” inherent in the existing method.

Keywords

adaptive control; compensation; control nonlinearities; control system synthesis; delays; feedback; neurocontrollers; nonlinear control systems; stochastic systems; backstepping design; complexity explosion; dynamic surface control technique; neural network based adaptive control design framework; nonlinear term compensation; output-feedback adaptive DSC; stochastic nonlinear systems; time-delays; Adaptive systems; Artificial neural networks; Backstepping; Complexity theory; Stochastic systems; Adaptive output feedback control; neural network; stochastic nonlinear strict-feedback system; time-delays;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science and Engineering (ICSSE), 2012 International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-0944-8

Electronic_ISBN

978-1-4673-0943-1

Type

conf

DOI

10.1109/ICSSE.2012.6257186

Filename

6257186