Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Introduction to Hybrid Dynamical Systems
Introduction to Hybrid Dynamical Systems
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Switched and Impulsive Systems: Analysis, Design and Applications (Lecture Notes in Control and Information Sciences)
Letters: Convex incremental extreme learning machine
Neurocomputing
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
H-Infinity control for switched nonlinear systems based on RBF neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Variable neural networks for adaptive control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Observer-based stabilization of switching linear systems
Automatica (Journal of IFAC)
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
Universal approximation using incremental constructive feedforward networks with random hidden nodes
IEEE Transactions on Neural Networks
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In this paper, we address the problem of neural networks (NNs) stabilization and disturbance rejection for a class of nonlinear switched impulsive systems. An adaptive NN feedback control scheme and an impulsive controller for output tracking error disturbance attenuation of nonlinear switched impulsive systems are given under all admissible switched strategy based on NN. The NN is used to compensate for the nonlinear uncertainties of switched impulsive systems, and the approximation error of NN is introduced to the adaptive law in order to improve the tracking attenuation quality of the switched impulsive systems. Impulsive controller is designed to attenuate effect of switching impulse. Under all admissible switching law, impulsive controller and adaptive NN feedback controller can guarantee asymptotic stability of tracking error and improve disturbance attenuation level of tracking error for the overall nonlinear switched impulsive system. Finally, a numerical example is given to demonstrate the effectiveness of the proposed control and stabilization methods.