Synchronization and Parameter Identification of Chaotic Systems Based on Quantum-Behaved Particle Swarm Optimization

doi:10.19596/j.cnki.1001-246x.7809

Abstract

Abstract: For synchronization cotrol of chaotic systems with different structures and unkown parameters, synchronization controller is designed and stability of error system is analyzed theoretically. With reasonably selected optimization objective function and quantum-behaved particle swarm optimization, unknown parameters identification of chaotic system are realized, which reduces effectively development difficulty of the synchronization controller. Synchronization between Rössler chaotic system and Lorenz chaotic system is studied, and numerical experiments are carried out. It shows that the proposed method achieves fast synchronization of drive-response system and accurate identification of unknown system parameters, which verifies feasibility and effectiveness of the method.

Key words: chaotic systems, parameter identification, different structure, chaotic synchronization, quantum-behaved particle swarm optimization

CLC Number:

TP301.6

SHI Jianping, YANG Lantian, LIU Dan. Synchronization and Parameter Identification of Chaotic Systems Based on Quantum-Behaved Particle Swarm Optimization[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 36(2): 236-244.

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