Stabilization of Chaotic Time Series by Proportional Pulse in the System Variable Based on Genetic Algorithm

Qing Li; Deling Zheng; Jianlong Zhou

Volume 6 Issue 3

Sep. 1999

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International Journal of Minerals, Metallurgy and Materials > 1999 > 6(3): 228-229.

Qing Li, Deling Zheng, and Jianlong Zhou, Stabilization of Chaotic Time Series by Proportional Pulse in the System Variable Based on Genetic Algorithm, J. Univ. Sci. Technol. Beijing , 6(1999), No. 3, pp.228-229.

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Stabilization of Chaotic Time Series by Proportional Pulse in the System Variable Based on Genetic Algorithm

Qing Li¹⁾,
Deling Zheng¹⁾ and
Jianlong Zhou²⁾

Author Affilications

Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China
Handan iron and Steel Co., Handan 056015, China

Received: 19 November 1998; Available Online: 15 June 2021

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Abstract

Abstract

The PPSV (Proportional Pulse in the System Variable) algorithm is a convenient method for the stabilization of the chaotic time series. It does not require any previous knowledge of the system. The PPSV method also has a shortcoming, that is, the determination off. is a procedure by trial and error, since it lacks of optimization. In order to overcome the blindness, GA (Genetic Algorithm), a search algorithm based on the mechanics of natural selection and natural genetics, is used to optimize the λ_i The new method is named as GAPPSV algorithm. The simulation results show that GAPPSV algorithm is very efficient because the control process is short and the steady-state error is small.
- stabilization,
- chaotic time series,
- genetic algorithm

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