Parameter identification for fractional-order chaotic systems using a hybrid stochastic fractal search algorithm

The knowledge about parameters is very important for control and synchronization of fractional-order chaotic systems. In this paper, an effective hybrid stochastic fractal search (HSFS) algorithm is proposed for parameter identification of fractional-order chaotic systems. To enhance the exploration and exploitation abilities, several efficient local search methods are incorporated into the HSFS as hybrid strategies. The performance of the HSFS is comprehensively evaluated on three typical fractional-order chaotic systems. Numerical simulations and comparisons with some existed algorithms demonstrate the effectiveness of the proposed method.