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Multiple model adaptive intercept strategy of spacecraft for an incomplete-information game
Acta Astronautica ( IF 3.1 ) Pub Date : 2020-12-18 , DOI: 10.1016/j.actaastro.2020.12.015
Dong Ye , Xu Tang , Zhaowei Sun , Chunbao Wang

Aiming at the problem of spacecraft terminal intercept game with incomplete-information, the multiple mode adaptive intercept strategy is proposed. In the game, both sides try their effort to pursuit or evade with minimal cost. Associated to the saddle point equilibrium, the spacecraft game strategy pair with the complete-information assumption is derived through differential game theory. Whereas, the scenario where the interceptor cannot obtain the target information is formulated as the incomplete-information game. Assume that the target information belongs to a finite set and is fixed throughout the game. A multiple mode adaptive identification scheme, with a bank of filters matching different target information modes in parallel, is proposed to identify the unknown information and derive the estimation-dependent strategy. In addition, the probability-weighted adaptive strategy is derived through the multiple mode adaptive control approach, and the estimation is input into a controller that matches the specific mode. Finally, the effectiveness of the proposed strategies is demonstrated by numerical simulations.



中文翻译:

不完全信息游戏的航天器多模型自适应拦截策略

针对不完整信息的航天器终端拦截游戏问题,提出了一种多模式自适应拦截策略。在游戏中,双方都努力以最小的代价追求或逃避。与鞍点平衡有关,具有差分信息的航天器博弈策略对是通过微分博弈论得出的。而拦截器无法获取目标信息的场景被表述为不完整信息游戏。假设目标信息属于一个有限集,并且在整个游戏中都是固定的。提出了一种具有一组并行匹配不同目标信息模式的滤波器的多模式自适应识别方案,以识别未知信息并推导估计相关策略。此外,通过多模式自适应控制方法得出概率加权的自适应策略,并将估计值输入到与特定模式匹配的控制器中。最后,通过数值仿真证明了所提出策略的有效性。

更新日期:2021-01-04
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