Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors

Advantages of a fuzzy predictive control algorithm are discussed in the paper. The discussed fuzzy predictive algorithm is a combination of a DMC (Dynamic Matrix Control) algorithm and Takagi–Sugeno fuzzy modeling inheriting advantages of both techniques. The algorithm is numerically effective. Moreover, information about measured disturbance can be included in it in an easy way. A simple and easy to apply method of fuzzy predictive control algorithms synthesis is presented. The advantages of the fuzzy predictive control algorithm are demonstrated in the example control system of a control plant with difficult dynamics – a nonlinear chemical reactor with inverse response.