Synchronization Control and Parameter Identification for Unified Chaotic System Based on Improved Clonal Selection Algorithm

doi:10.19596/j.cnki.1001-246x.8001

Abstract

Abstract: An improved clonal selection algorithm was proposed for parameter identification of chaotic systems. Global exploration and local exploration of the algorithm are effectively balanced by two mechanisms of hypermutation and receptor editing. Convergence quality of the algorithm is improved by introducing strategy of learning from elite antibody. Experiments on 10 optimization problems show that the algorithm has good performance in terms of accuracy, convergence speed and stability. Taking synchronization control of unified chaotic system with unknown parameter as research object, synchronization controller was designed reasonably and stability of the synchronization system was analyzed theoretically. By setting synchronization scale factors, a variety of synchronization methods such as complete synchronization, anti-synchronization and projective synchronization of unified chaotic system are realized. Simulation results show that the method realizes accurate identification of unknown system parameter and effective synchronization control of drive-response system. Feasibility and effectiveness of the method are verified.

Key words: clonal selection algorithm, unified chaotic system, chaotic synchronization, parameter identification

CLC Number:

TP273

SHI Jianping, LI Peisheng, LIU Guoping. Synchronization Control and Parameter Identification for Unified Chaotic System Based on Improved Clonal Selection Algorithm[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 37(2): 240-252.

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