Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle.

IEEE Transactions on Neural Networks and Learning Systems(2015)

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摘要
This paper studies both indirect and direct global neural control of strict-feedback systems in the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a novel manner. A new switching mechanism is designed to combine an adaptive neural controller in the neural approximation domain, together with the robust controller that pulls the transient states back into the neur...
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关键词
Artificial neural networks,Vehicle dynamics,Aerodynamics,Approximation methods,Switches,Stability analysis
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