Pole placement control of discrete time systems preceded with hysteresis via dynamic neural network compensator

Author

Lu, Tianshun ; Tan, Yonghong ; Su, Chun-Yi

Author_Institution

Dept. of Mech. Eng., Concordia Univ., Montreal, Que., Canada

fYear

2002

fDate

2002

Firstpage

228

Lastpage

233

Abstract

A control strategy for discrete time systems preceded with dominant hysteresis is presented in this paper. In this strategy, a recurrent neural network with hysteron (RNNH) is applied for the construction of the nonlinear compensator to remove the effect of the hysteresis. Then the incremental pole placement control approach is used for the control of the systems with the neural compensator. Finally, numerical simulation examples are illustrated to show the performance of the proposed strategy.

Keywords

compensation; control nonlinearities; control system synthesis; discrete time systems; hysteresis; neurocontrollers; pole assignment; recurrent neural nets; control strategy; discrete time systems; dominant hysteresis; dynamic neural network compensator; hysteresis nonlinearities; incremental pole placement control approach; nonlinear compensator; numerical simulation examples; pole placement control; recurrent neural network with hysteron; Control design; Control systems; Discrete time systems; Hysteresis; Inverse problems; Neural networks; Numerical simulation; Piezoelectric actuators; Recurrent neural networks; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on

ISSN

2158-9860

Print_ISBN

0-7803-7620-X

Type

conf

DOI

10.1109/ISIC.2002.1157767

Filename

1157767