A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems.

IEEE Transactions on Neural Networks and Learning Systems(2021)

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摘要
This article investigates the problem of neural network (NN)-based adaptive backstepping control design for stochastic nonlinear systems with unmodeled dynamics in finite-time prescribed performance. NNs are used to study the uncertain control plants, and the problem of unmodeled dynamics is tackled by the combination of the changing supply function and the dynamical signal function methods. The o...
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关键词
Adaptive systems,Nonlinear systems,Artificial neural networks,Control design,Backstepping,Stochastic processes
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