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Neural network-based adaptive second order sliding mode control of Lorentz-augmented spacecraft formation
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文摘
An almost propellantless formation establishment is achieved via Lorentz force. Optimal open-loop hybrid inputs are derived by pseudospectral method. A closed-loop adaptive sliding mode controller using neural networks is proposed. An output feedback controller is designed for cases without velocity measurements.

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