Parameter estimation for time-delay chaotic system by particle swarm optimization

The knowledge about time delays and parameters is very important for control and synchronization of time-delay chaotic system. In this paper, parameter estimation for time-delay chaotic system is given by treating the time delay as ail additional parameter. The parameter estimation is converted to ail optimization problem, which finds a best parameter combination such that ail objective function is minimized. Particle swarm optimization (PSO) is used to optimize the objective function through particles' cooperation and evolution. Two illustrative examples are given to show the validity of the proposed method. (C) 2007 Elsevier Ltd. All rights reserved.