Fuzzy Control Based on Expert Rules

An expert fuzzy controller is proposed to control the complex nonlinear system. Expert knowledge and fuzzy rules are combined to determine the control amplitude, which resolves the problem that the parameters in chaos control by time-delayed feedback method are difficult to determine. The different fuzzy control rules are adopted according to the control error of the chaotic system, which can improve the adaptability of the controller. The chaotic system can be controlled in the unstable periodic orbits (UPO-s) by the method. The experimental results show that the expert fuzzy controller has the advantages of rapid speed response and good robustness, and the method is not only feasible but also efficient.