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• W2770103705 abstract "An adaptive dynamic surface control(DSC) strategy, combined with RBF neural network technology, is presented for the altitude subsystem of hypersonic flight vehicles. A performance function has been used, so that the altitude tracking error enters a pre-set range. Through the use of minimal learning techniques, the computational burden is drastically reduced. It has been proved that the closed-loop system is uniformly stable. Finally, the simulation examples show the effectiveness of the proposed control strategy." @default.
• W2770103705 created "2017-12-04" @default.
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• W2770103705 date "2017-07-01" @default.
• W2770103705 modified "2023-09-28" @default.
• W2770103705 title "Neural networks approximator based adaptive prescribed performance tracking control for hypersonic flight vehicles systems" @default.
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• W2770103705 doi "https://doi.org/10.1109/iccss.2017.8091446" @default.
• W2770103705 hasPublicationYear "2017" @default.
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