Multilayer feedforward networks are universal approximators
Neural Networks
Feedback linearization using neural networks
Automatica (Journal of IFAC)
Robust stability of interval time-delay systems with delay-dependence
Systems & Control Letters
Automatica (Journal of IFAC)
Guaranteed Cost Networked Control for T–S Fuzzy Systems With Time Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A fuzzy basis function vector-based multivariable adaptivecontroller for nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy H∞ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays
IEEE Transactions on Fuzzy Systems
Time-delay systems: an overview of some recent advances and open problems
Automatica (Journal of IFAC)
Robust adaptive control of nonlinear systems with unknown time delays
Automatica (Journal of IFAC)
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
IEEE Transactions on Neural Networks
Direct adaptive controller for nonaffine nonlinear systems using self-structuring neural networks
IEEE Transactions on Neural Networks
Neural network control of a class of nonlinear systems with actuator saturation
IEEE Transactions on Neural Networks
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A novel Neural Network (NN)-based dead-zone compensation scheme for a class of non-affine Multiple-Input Multiple-Output (MIMO) non-linear systems with state time-varying delay is presented. A static NN is introduced to approximate and adaptively cancel the unknown nonlinear dynamic of the subsystems and unknown dead-zone after its existence proved by implicit function theorem. The control law and adaptive laws for the weights of the hidden layer and output layer of NNs are established by Lyapunov analysis of the whole closed-loop system. The tracking error is proved to be Uniformly Ultimately Bounded (UUB) via introducing an additional robust control term. The effectiveness of the proposed control scheme is verified by the simulation of an MIMO non-affine non-linear system with state time-varying delay.