SIAM Journal on Control and Optimization
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Stabilization of Nonlinear Uncertain Systems
Stabilization of Nonlinear Uncertain Systems
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Variable neural networks for adaptive control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Neural Networks
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
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In this paper, we deal with the switched stabilization problem for a class of stochastic switched nonlinear systems based on RBF neural network and backstepping approach. By using the combination design technique of backstepping and neural network, an adaptive neural network switching controller is designed for the switched stabilization of stochastic switched nonlinear system with trigonal structure. It is shown that, under Stochastic Lasalle Theorem, the resulting closed-loop system is proved to be globally asymptotically stable in probability.