Application of a time-delayed feedback control method based on the fuzzy genetic algorithm for chaos control

LI Qing; SONG Dingli; LI Qin; YIN Yixin; ZHOU Hui

doi:10.13374/j.issn1001-053x.2005.04.028

Volume 27 Issue 4

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2005 > 27(4): 501-504

LI Qing, SONG Dingli, LI Qin, YIN Yixin, ZHOU Hui. Application of a time-delayed feedback control method based on the fuzzy genetic algorithm for chaos control[J]. Chinese Journal of Engineering, 2005, 27(4): 501-504. doi: 10.13374/j.issn1001-053x.2005.04.028

Citation:

LI Qing, SONG Dingli, LI Qin, YIN Yixin, ZHOU Hui. Application of a time-delayed feedback control method based on the fuzzy genetic algorithm for chaos control[J]. Chinese Journal of Engineering, 2005, 27(4): 501-504. doi: 10.13374/j.issn1001-053x.2005.04.028

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Application of a time-delayed feedback control method based on the fuzzy genetic algorithm for chaos control

doi: 10.13374/j.issn1001-053x.2005.04.028

1. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;
2. Hebei Polytechnic University, Tangshan 063009, China

Received Date: 2004-05-14
Rev Recd Date: 2004-09-16

Available Online: 2021-08-17

Abstract

Abstract

A time-delayed feedback control method based on the fuzzy genetic algorithm was proposed for chaos control. The fuzzy genetic algorithm was used to optimize parameters of the time-delayed feedback control method. The results of simulation for controlling a chaotic Lorenz system to a fixed point and a period-2 orbit show that the new algorithm has many advantages such as fastness and strong anti-interference.
- chaos control,
- time-delayed feedback control,
- fuzzy genetic algorithm,
- Lorenz system,
- parameter optimization