Adaptive Fuzzy Sliding-Mode Control for a Class of T-S Fuzzy Models

Abstract

An approach to adaptive fuzzy sliding-mode control (SMC) for a class of nonlinear dynamical systems with lumped parameter uncertainties accompanied with control input is proposed and analyzed. In particular, the approach is able to deal with the T-S fuzzy model with different control matrices in the fuzzy rules. The approach guarantees that the system state will be uniformly ultimately bounded. Also, discussion on how to alleviate the conservativeness of the approach is provided. Finally, computer simulations illustrate the effectiveness of the control approach proposed in this paper.