Adaptive interval 2 fuzzy neural control for a class of nonlinear systems with uncertainty and state time delays

In this paper, a new adaptive control is proposed for uncertain nonlinear systems with state time delay. The uncertainties is approximately modeled by interval type-2 fuzzy neural networks. The proposed approach is based on the backstepping control technique. An adaptive interval type 2 neural fuzzy control is proposed for a class of uncertain nonlinear systems with unknown time delays. It is mathematically proved that the proposed adaptive fuzzy neural control approach is able to guarantee that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded. An example is given to show the effectiveness.