Direct adaptive interval type-2 fuzzy control of multivariable nonlinear systems
Engineering Applications of Artificial Intelligence
Synchronization of chaotic systems from a fuzzy regulation approach
Fuzzy Sets and Systems
Robust output regulation of T-S fuzzy systems with multiple time-varying state and input delays
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Fuzzy tracking control based on H∞performance for nonlinear systems
WSEAS Transactions on Systems and Control
H∞ output tracking fuzzy control for nonlinear systems with time-varying delay
Applied Soft Computing
System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network
International Journal of Fuzzy System Applications
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On the basis of the Takagi-Sugeno (TS) fuzzy model, this paper discusses in detail the following three problems: (1) output tracking of the nonlinear system; (2) output regulation of the nonlinear system via a state feedback; (3) output regulation of the nonlinear system via a error feedback. Numerical simulations are given to illustrate the soundness of these results and the effectiveness of the new methodology solving the output tracking and regulation problem of the nonlinear system