This paper presents an analytical approach for determining the optimal controller output using a long-range predictive control strategy and the fuzzy modelling method proposed by Takagi and Sugeno. This modelling method offers a number of advantages over fuzzy modelling methods based on relational arrays for use in model-based controllers. The performance of the proposed control system is examined using simulations of typical chemical processes. The results demonstrate the ability of the proposed system to out-perform more traditional control systems as well as other fuzzy model-based controllers when applied to the control of nonlinear processes which operate over a wide range.