Takagi-Sugeno fuzzy predictive control for a class of nonlinear system with constrains and disturbances

This paper investigates the fuzzy predictive control for a class of nonlinear system with constrains under the condition ofnoise. Based on the fuzzy linearization theory, a class ofnonlinear systems can be described by the Takagi-Sugeno (T-S) fuzzy model. The T-S fuzzy model and predictive control are combined to stabilize the proposed class of nonlinear system, and the detailed mathematical derivation is given. Moreover, the designed controller has been optimized even ifthe system is constrained by output and control input, or perturbed by external disturbances. Finally, numerical simulations including three-dimensional Lorenz system, four-dimensional Chen system and five-dimensional nonlinear system with external disturbances are presented to demonstrate the universality and effectiveness ofthe proposed scheme. The approach proposed in this paper is simple and easy to implement and also provides reference for relevant nonlinear systems.