New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System

Wu Gang; Tong Chaonan; Sun Yikang

doi:10.13374/j.issn1001-053x.1999.03.024

Volume 21 Issue 3

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 1999 > 21(3): 301-303

Wu Gang, Tong Chaonan, Sun Yikang. New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System[J]. Chinese Journal of Engineering, 1999, 21(3): 301-303. doi: 10.13374/j.issn1001-053x.1999.03.024

Citation:

Wu Gang, Tong Chaonan, Sun Yikang. New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System[J]. Chinese Journal of Engineering, 1999, 21(3): 301-303. doi: 10.13374/j.issn1001-053x.1999.03.024

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New Method of Dynamic Fuzzy Identification Based on Genetic Algorithm in Nonlinear System

doi: 10.13374/j.issn1001-053x.1999.03.024

Research Institute of Automatic Control, UST Beijing, Beijing 100083, China

Received Date: 1998-11-20
Available Online: 2021-08-27

Abstract

Abstract

Aimed at complex dynamic systems, a new method of dynamic fuzzy identification based on Genetic Algorithm is proposed. A new algorithm for learning fuzzy rules is given. Fuzzy inference systems and genetic learning algorithm are discussed to nonlinear system modeling.The simulation results show that this method has good effectiveness.
- nonlinear system,
- fuzzy modeling,
- genetic algorithm