Robust ISS-satisficing fuzzy control of chaotic systems

In this paper, an attempt is made to create the bridge between two important design techniques, robust ISS-satisficing control design and fuzzy control design, so as to supply robust ISS-satisficing control design with more inverse optimality and fuzzy control design with better robust and predictive performance. Based on the control Lyapunov method, the closed-loop system we discussed in this paper is stable. In the conventional robust ISS-satisficing control system, all parameters of the system must be determined which limits the application areas. In the study, the authors combine these two control method to form a new approach, making it learns from each other´s strong points, and offsets their weakness. The simulation results of chaotic systems are given to demonstrate that the control algorithm is feasible with respect to this problem