The multi-objective controller adjustment using Ants system metaheuristic for non linear systems described by TS fuzzy models
Hend Liouane, Ali Douik, Hassani Messaoud · 2012
Artificial intelligence has attracted more and more attention in recent years. In this paper, we exploit essentially Ants System (AS) metaheuristic to adjust parameters of controller for non linear systems described by Takagi-Sugeno (TS) fuzzy models. The controller parameters are adjusted based on the desired performance set by the designer. Moreover, ants system metaheuristic was exploited to identify Pareto optimal solutions to find suitable trade-off between these performance criteria. An application example is presented to evaluate the competence of the proposed method.