Evasion guidance for air-breathing hypersonic vehicles against unknown pursuer dynamics
نویسندگان
چکیده
Abstract The rapid development of hypersonic vehicles has motivated the related research dramatically while evasion becomes one challenging issues. Different from work based on premise that pursuers’ information is fully known, in this paper guidance for air-breathing (AHVs) against unknown pursuer dynamics studied. gradient descent employed parameter estimation pursuer. energy-optimized algorithm further developed by taking acceleration constraint and energy optimization into consideration. Under proposed algorithm, system can deal with effectively provide more practical process. simulation results show method enable AHV to achieve successful evasion.
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2021
ISSN: ['0941-0643', '1433-3058']
DOI: https://doi.org/10.1007/s00521-021-06250-w