Intelligent tracking control for duffing oscillator using a self-organizing CMAC

Author

Chen, Te-Yu ; Lin, Chin-min ; Yeung, Daniel S.

Author_Institution

Dept. of Electr. Eng., Yuan-Ze Univ., Taoyuan

Volume

7

fYear

2008

fDate

12-15 July 2008

Firstpage

3851

Lastpage

3856

Abstract

This paper presents an intelligent tracking control system for the chaotic systems based on a self-organizing cerebellar-model-articulation-controller (CMAC). The structure of CMAC will be self-organized; that is, the layers of CMAC will grow or prune systematically and their receptive functions can be automatically adjusted. The control system consists of a self-organizing CMAC (SOCM) and a robust controller. SOCM containing a CMAC identifier is used as the principal controller and the robust controller is designed to dispel the effect of approximation error. The Lyapunov algorithm is used to on-line tune the parameters of CMAC and is applied to guarantee the stability of the system. Finally, simulation studies show that the proposed intelligent tracking control can achieve favorable tracking performance.

Keywords

Lyapunov methods; cerebellar model arithmetic computers; chaos; intelligent control; oscillators; robust control; self-adjusting systems; tracking; Lyapunov algorithm; approximation error; chaotic systems; duffing oscillator; intelligent tracking control; robust controller; self-organizing CMAC; Automatic control; Chaos; Control systems; Intelligent control; Learning systems; Machine learning; Neural networks; Oscillators; Robust control; Stability; Cerebellar-model-articulation-controller (CMAC); Chaotic system; Lyapunov algorithm; Self-organizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4621076

Filename

4621076