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• W3173738128 abstract "Abstract The rapid development of hypersonic vehicles has motivated the related research dramatically while the evasion of the hypersonic vehicles becomes one of the challenging issues. Different from the work based on the premise that the pursuers’ information is fully known, in this paper the evasion guidance for air-breathing hypersonic vehicles (AHVs) against unknown pursuer dynamics is studied. The gradient descent is employed for parameter estimation of the unknown dynamics of the pursuer. The energy-optimized evasion guidance algorithm is further developed by taking the acceleration constraint and energy optimization into consideration. Under the proposed algorithm, the system can deal with the unknown pursuer dynamics effectively and provide more practical guidance for the evasion process. The simulation results show that the proposed method can enable the AHV to achieve successful evasion." @default.
• W3173738128 created "2021-07-05" @default.
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• W3173738128 date "2021-06-26" @default.
• W3173738128 modified "2023-10-17" @default.
• W3173738128 title "Evasion guidance for air-breathing hypersonic vehicles against unknown pursuer dynamics" @default.
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• W3173738128 doi "https://doi.org/10.1007/s00521-021-06250-w" @default.
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