In this paper, an attempt is made to create the bridge between two important design techniques, robust ISSsatisficing 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 closedloop 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.