A new approach in synchronization of uncertain chaos systems through particle swarm optimization

The topics of uncertain chaos synchronization have drawn considerable attentions in the last decades. To investigate them in a novel way, an application through particle swarm optimization (PSO) simulating the swarm intelligence is proposed. With two novel techniques, boundary restriction strategy for PSO and transferring the problems of chaos synchronization into a series of multimodal nonlinear optimization problems, synchronization of Henon systems with different cases of system parameters identical, different and uncertain from different initials are discussed respectively. Numerical experiments done by PSO demonstrate the effectiveness and efficiency of the proposed ideas.