Parameter identification of chaotic system based on quantum PSO algorithm

In this paper, we employed a new variant of particle swarm optimization (PSO) technique named quantum PSO (QPSO) to search for optimal parameters of chaotic system by minimizing errors between the model´s evaluated outputs and the actual ones. The performance of the QPSO is tested via simulation in Matlab. Identification results aptly show that the QPSO algorithm has the advantage of high parameter identification precision and it provides a new way for parameter identification of chaotic system.