Design of RBF Neural Synchronous Controller with PID Compensation for a Class of Unknown Chaotic System

Author

Wang, Xinyu ; Lei, Junwei ; Deng, Yigao

Author_Institution

Inst. of Sci. & Technol. for Opto-Electron. Inf., Yantai Univ.

Volume

2

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

408

Lastpage

411

Abstract

Adaptive neural robust controller was designed by using adaptive backstepping method for a class of unknown chaotic system which could be turned to "standard block control type". It was proved by constructing Lyapunov function step by step that all signals of the system are bounded and exponentially converge to the neighborhood of the origin globally. Finally, simulation study is given to demonstrate that the proposed method is effective and the known information of system was made use of as maximally as possible by introducing the PID control

Keywords

Lyapunov methods; adaptive control; compensation; control system synthesis; neurocontrollers; radial basis function networks; robust control; synchronisation; three-term control; Lyapunov function; PID compensation; PID control; RBF neural synchronous controller design; adaptive backstepping method; adaptive neural robust controller design; chaotic system; Adaptive control; Aerospace engineering; Automatic control; Chaos; Control systems; Design engineering; Error correction; Neural networks; Programmable control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.264

Filename

1692012