Genetic algorithm based fuzzy controller for nonlinear systems

A genetic algorithm (GA) based fuzzy approach for on-line process control is proposed in this paper. In this approach, a TSK fuzzy controller is used to control the system. To reduce the fuzzy system design effort and to find the optimum fuzzy controller parameters, GA has been employed. It is also possible to emphasize on the system response specification by changing the fitness function and then finding the best controller parameters. The simulation results indicate that the proposed approach works well.