Multiple Models Fuzzy Control for a Class of Nonlinear Systems

It is difficult to obtain satisfied control result using traditional adaptation control of parameters change of model in different operating modes. Combined fuzzy theory and multiple models control, a fuzzy multiple models control algorithm was presented. First of all, sub-models and corresponding controllers were established at each equilibrium point of the system, and then through online each model matching degree was calculated to accommodate parameters change. Finally, the input of the system was a weighted sum of each controller´s output. The close-loop system stability can be guaranteed. The simulation results show that the control scheme greatly improves the system dynamic response