Nonlinear control systems: an introduction (2nd ed.)
Nonlinear control systems: an introduction (2nd ed.)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Adaptive Neural Network Control of Robotic Manipulators
Adaptive Neural Network Control of Robotic Manipulators
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Variable neural networks for adaptive control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Neural network-based model reference adaptive control system
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
Output feedback control of nonlinear systems using RBF neural networks
IEEE Transactions on Neural Networks
H∞ neural networks control for uncertain nonlinear switched impulsive systems
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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Sub-controller and switching strategy based on RBF neural network are presented for a class of switched nonlinear systems in this paper. Sub-controller consists of equivalent controller and H-infinity controller. RBF neural network is used to approximate the unknown part of switched nonlinear systems, and the approximation errors of the RBF neural networks are introduced to the adaptive law in order to improve the performance of the whole systems. Sub-controller and switching strategy are designed to guarantee asymptotic stability of the output tracking error and to attenuate the effect of the external disturbance and approximation errors to a given level.