Nonlinear system identification using genetic algorithms with application to feedforward control design

Author

Luh, Guan-Chun ; Rizzoni, Giorgio

Author_Institution

Dept. of Mech. Eng., Tatung Inst. of Technol., Taipei, Taiwan

Volume

4

fYear

1998

fDate

21-26 Jun 1998

Firstpage

2371

Abstract

A GAMAS-based system identification scheme is developed to construct NARX model of nonlinear systems. Several simulated examples demonstrate that it can be applied to identify both nonlinear continuous-time systems and discrete-time systems with acceptable accuracy. Inverting the identified NARX model, a feedforward controller may be derived to track desired time varying signal of nonlinear systems. Sufficient conditions of the invertibility of NARX model are proposed to investigate the existence of the inverse model. Simulation results depict the effectiveness of the feedforward controller with the aid of simple feedback controller designed for regulation purpose

Keywords

autoregressive processes; continuous time systems; discrete time systems; feedforward; genetic algorithms; identification; inverse problems; nonlinear systems; GAMAS-based system; NARX model; Sufficient conditions; feedforward control; genetic algorithms; identification; inverse model; nonlinear systems; Control systems; Genetic algorithms; Inverse problems; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Polynomials; Power system modeling; Signal processing; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703056

Filename

703056