Anti-synchronization for chaotic system with unknown parameters based on optimization method

A new method of online anti-synchronization for chaotic system with unknown parameters is proposed in this paper. Firstly, based on the stability criteria of linear system, linear separation is made on the chaotic system. Then the problem of anti-synchronization of the chaotic system is converted to that parameter optimization through the construction of suitable fitness function. Finally the diversity-guided modified quantum-behaved particle swarm optimization (DGMQPSO) algorithm is used to solve the optimal problem. Numerical simulation of Chen chaotic system shows the feasibility and effectiveness of the proposed method.