Intelligence control of nonlinear systems based on Matlab simulation and the real-time control platform

Author

Zhao Yingkai ; Yiling, Wang

Author_Institution

Coll. of Inf. Sci. & Eng., Nanjing Univ. of Technol., China

Volume

1

fYear

2002

fDate

2002

Firstpage

786

Abstract

Aiming at the long time delay and nonlinear control of a liquid level system, the paper proposes an intelligent control strategy using a RBF network for object prediction and a self-adaptive fuzzy control algorithm for control. Using Matlab simulation and its dynamic data exchange function, we realize the effective control of the liquid level system. The result shows that this strategy is robust, anti-disturbance and effective for system control.

Keywords

adaptive control; digital simulation; fuzzy control; intelligent control; level control; nonlinear control systems; radial basis function networks; real-time systems; self-adjusting systems; Matlab simulation; RBF network; dynamic data exchange function; intelligent control strategy; liquid level system; long time delay; nonlinear systems; object prediction; real-time control platform; robust control; self-adaptive fuzzy control algorithm; Control system synthesis; Control systems; Delay effects; Fuzzy control; Intelligent control; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Radial basis function networks; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1022223

Filename

1022223