Synchronization of Chaos Based on Fuzzy Genetic Algorithm

LI Qing; ZHENG Deling; YANG Linhao

doi:10.13374/j.issn1001-053x.2001.02.025

Volume 23 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2001 > 23(2): 184-188

LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. doi: 10.13374/j.issn1001-053x.2001.02.025

Citation:

LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. doi: 10.13374/j.issn1001-053x.2001.02.025

LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. doi: 10.13374/j.issn1001-053x.2001.02.025

Citation:

LI Qing, ZHENG Deling, YANG Linhao. Synchronization of Chaos Based on Fuzzy Genetic Algorithm[J]. Chinese Journal of Engineering, 2001, 23(2): 184-188. doi: 10.13374/j.issn1001-053x.2001.02.025

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Synchronization of Chaos Based on Fuzzy Genetic Algorithm

doi: 10.13374/j.issn1001-053x.2001.02.025

1. Information Engineering School, UST Beijing, Beijing 100083, China;
2. Handan Iron & Steel Corporation, Handan 056000, China

Received Date: 2000-06-18

Abstract

Abstract

Continuous Variable Feedback Synchronization(CVFS) algorithm is a simple control method for the synchronization of chaos. However, the adjustment of the feedback value in CVFS algorithm is very difficult. In order to solve this problem, a new algorithm named FGACVFS, which combined fuzzy genetic algorithm (FGA) with CVFS is proposed. The simulation result show that the a djustment of the k_ii (the elements in feeback matrix) is very convenient and efficient.
- synchronization of chaos,
- fuzzy control,
- genetic algorithm