Robust Adaptive Control for Nonlinear Uncertain Systems Using Type‐2 Fuzzy Neural Network System
Ching‐Hung Lee, Yu-Ching Lin · Mathematical Problems in Engineering · 2011
This paper proposes a novel intelligent control scheme using type‐2 fuzzy neural network (type‐2 FNN) system. The control scheme is developed using a type‐2 FNN controller and an adaptive compensator. The type‐2 FNN combines the type‐2 fuzzy logic system (FLS), neural network, and its learning algorithm using the optimal learning algorithm. The properties of type‐1 FNN system parallel computation scheme and parameter convergence are easily extended to type‐2 FNN systems. In addition, a robust adaptive control scheme which combines the adaptive type‐2 FNN controller and compensated controller is proposed for nonlinear uncertain systems. Simulation results are presented to illustrate the effectiveness of our approach.