Self-optimizing fuzzy controller for nonlinear system with constraints

This paper presents a self-optimizing fuzzy controller for nonlinear dynamic plants whose model (including non-mathematical models and expert knowledge) is unknown. A new fuzzy algorithm is presented to improve control performances. Furthermore, a global meta-heuristic algorithm is presented to optimize the fuzzy parameters and to satisfy some nonlinear constraints. The numerical simulated experiments show the good performance on a time-varying parameters nonlinear plant.