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In this article, an integrated guidance and control design method for general nonlinear flexible hypersonic flight vehicles in the presence of dynamic uncertainties based on the L 1 adaptive state feedback control approach is presented.
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This study develops a novel neural-approximation-based prescribed performance controller for flexible hypersonic flight vehicles (HFVs).
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In this article, an integrated guidance and control design method for general nonlinear flexible hypersonic flight vehicles in the presence of dynamic uncertainties based on the L 1 adaptive state feedback control approach is presented.
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This study develops a novel neural-approximation-based prescribed performance controller for flexible hypersonic flight vehicles (HFVs).
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This paper addresses a fault accommodation issue for flexible hypersonic vehicles by the static output feedback.
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A velocity L1 adaptive controller and an altitude L1 adaptive controller are designed to control flexible hypersonic vehicle model with actuator loss fault.
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In this article, we examine the system control design of a flexible hypersonic vehicle with an unknown direction control.
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In this paper, the reference tracking problem for a class of flexible hypersonic vehicles, whose dynamics vary significantly as flight states changes, is investigated via a novel switched linear parameter-varying (LPV) framework.
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Considering the nonlinearity, uncertainty, and rigid/elastic coupling, a state/parameter joint estimation method is essential for control system design or fault diagnosis of flexible hypersonic vehicles.
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The design is applied to the flexible hypersonic flight dynamics and a better tracking performance is obtained.
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