A new neural network structure dedicated to the control of nonlinear systems

Author

Shen, T.J. ; Mora-Camino, F. ; Achaibou, A.K.

Author_Institution

Lab. d´´Autom. et d´´Anal. des Syst., CNRS, Toulouse, France

Volume

1

fYear

1995

fDate

13-16 Aug 1995

Firstpage

433

Abstract

Proposes a new neural network structure to design a robust controller for non-exactly known nonlinear systems. Based on input-output data, the neural network structure provides a global affine model of the controlled system which is compatible with well known nonlinear control techniques. An affine neural tracking controller is developed and applied to an inverted pendulum submitted to random perturbations. The performance of the controller and the main advantage of the proposed approach are discussed

Keywords

neurocontrollers; nonlinear control systems; pendulums; robust control; affine neural tracking controller; global affine model; input-output data; inverted pendulum; neural network structure; non-exactly known nonlinear systems; nonlinear system control; random perturbations; robust controller; Analytical models; Communication system control; Control system synthesis; Control systems; Control theory; Neural networks; Nonlinear control systems; Nonlinear systems; Robust control; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.504469

Filename

504469