Control of nonlinear dynamical systems using genetic algorithms

H.N. Al-Duwaish; M. Bettayeb

doi:10.1109/ISIC.1997.626542

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Conference proceeding

Control of nonlinear dynamical systems using genetic algorithms

H.N. Al-Duwaish and M. Bettayeb

Proceedings of 12th IEEE International Symposium on Intelligent Control, pp.421-424

1997

DOI: https://doi.org/10.1109/ISIC.1997.626542

Abstract

Algorithm design and analysis

Autoregressive processes

Control systems

Design optimization

Dynamic programming

Genetic algorithms

Nonlinear control systems

Nonlinear dynamical systems

Nonlinear systems

Optimal control

This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. Simulation examples are included to illustrate the performance and effectiveness of the proposed method.

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Details

Title: Control of nonlinear dynamical systems using genetic algorithms
Creators - without role: H.N. Al-Duwaish - King Fahd University of Petroleum and Minerals
M. Bettayeb
Publication Details: Proceedings of 12th IEEE International Symposium on Intelligent Control, pp.421-424
Publisher: IEEE
Identifiers: 9935067608331
Academic Unit: King Abdulaziz University; King Fahd University of Petroleum & Minerals
Language: English
Resource Type: Conference proceeding