Fatemeh Jamshidi - Department of Electrical Engineering , Fasa University, Fasa, Fars province, Iran
Marzie Shabani - Department of Electrical Engineering , Fasa University, Fasa, Fars province, Iran
Banafshe Mohammadi - Department of Electrical Engineering , Fasa University, Fasa, Fars province, Iran

The present paper deals with an online intelligent approach for uncertain chaotic systems by utilizing a combination of the some techniques like the Particle Swarm Optimization (PSO) and the Fuzzy Sliding Mode Control (FSMC). The sliding mode control (SMC) technique is implemented so as to determine a sliding surface and the law of control. The shocking phenomenon on the sliding surface is reduced by a fuzzy system. Because of severe dependence of the fuzzy systems to their membership functions, PSO technique is deployed online so that the membership functions parameters will be determined. The effectiveness of the proposed intelligent control synthesis is compared with the FSM control design method. The results obtained through simulation illustrate the performance improvement of the proposed FSMC design

Chaos system, Fuzzy control, Particle swarm optimization (PSO), Sliding mode control