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Global finite-time stabilization for a class of stochastic nonlinear systems by dynamic state feedback

Weiqing AiJunyong ZhaiShumin Fei — 2013

Kybernetika

This paper addresses the problem of global finite-time stabilization by dynamic state feedback for a class of stochastic nonlinear systems. Firstly, we show a dynamic state transformation, under which the original system is transformed into a new system. Then, a state feedback controller with a dynamic gain is designed for the new system. It is shown that global finite-time stabilization in probability for a class of stochastic nonlinear system under linear growth condition can be guaranteed by...

Robust neural network control of robotic manipulators via switching strategy

Lei YuShumin FeiJun HuangYongmin LiGang YangLining Sun — 2015

Kybernetika

In this paper, a robust neural network control scheme for the switching dynamical model of the robotic manipulators has been addressed. Radial basis function (RBF) neural networks are employed to approximate unknown functions of robotic manipulators and a compensation controller is designed to enhance system robustness. The weight update law of the robotic manipulator is based on switched multiple Lyapunov function method and the periodically switching law which is suitable for practical implementation...

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