A novel fuzzy based model predictive control strategy using fuzzy model is investigated in order to provide a new view about how to design a controller for a class of chaotic systems. At the beginning of this study, a class of chaotic system’s Takagi-Sugeno model is presented, then linearized system model can be changed in form of augmented state space model. By the combination of fuzzy linearization technique and linear model predictive control method, a new controller concerning fuzzy and predictive control strategy is designed for a class of chaotic systems, and the detailed theoretical proof is presented. Numerical simulations including two-dimensional non-autonomous chaotic power system and three-dimensional double-wing autonomous chaotic system are shown in this paper. The presented simulation result shows the chaotic system reaches the steady state quickly which proves the suggested scheme’s effectiveness and universality.