GA optimized time delayed feedback control of chaos in a memristor based chaotic circuit

S. Saini, J. Saini
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引用次数: 5

Abstract

Chaotic state of a nonlinear system may be harmful due to its extreme sensitivity to initial conditions and irregularity in behavior. This paper addresses the problem of controlling chaos in a memristor based chaotic circuit using time delayed feedback method. Genetic algorithm has been used as a search tool to optimize the feedback path gain. Extensive computer simulations demonstrate that successful chaos control can be achieved by using this scheme, leading the system's chaotic state towards a fixed point or sustained oscillations depending on the range of feedback gain values.
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遗传算法优化了基于忆阻器的混沌电路的混沌时滞反馈控制
非线性系统的混沌状态由于其对初始条件的极端敏感性和行为的不规则性而可能是有害的。本文研究了用时滞反馈方法控制忆阻器混沌电路中的混沌问题。采用遗传算法作为搜索工具来优化反馈路径增益。大量的计算机模拟表明,使用该方案可以成功地实现混沌控制,使系统的混沌状态根据反馈增益值的范围走向固定点或持续振荡。
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