Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration
文献类型：期刊论文
| 作者 | Xin Wang2,3 ; Qing-Lai Wei1,2,3; Tao Li2,3; Jie Zhang2,3
|
| 刊名 | Machine Intelligence Research
 |
| 出版日期 | 2024 |
| 卷号 | 21期号:3页码:585-596 |
| 关键词 | Differential games, pursuit-evasion games, nonlinear control, optimal control, Nash equilibrium solution |
| ISSN号 | 2731-538X |
| DOI | 10.1007/s11633-022-1413-5 |
| 英文摘要 | In this paper, the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play technique. Under the condition where the Hamiltonian formed by means of Pontryagin′s maximum principle has the unique solution, it can be proven that the iterative control law converges to the Nash equilibrium solution. However, the strong nonlinearity of the ordinary differential equations formulated by Pontryagin′s maximum principle makes the control policy difficult to figured out. Moreover the system dynamics employed in this manuscript contains a high dimensional state vector with constraints. In practical applications, such as the control of aircraft, the provided overload is limited. Therefore, in this paper, we consider the optimal strategy of pursuit-evasion games with constant constraint on the control, while some state vectors are restricted by the function of the input. To address the challenges, the optimal control problems are transformed into nonlinear programming problems through the direct collocation method. Finally, two numerical cases of the aircraft pursuit-evasion scenario are given to demonstrate the effectiveness of the presented method to obtain the optimal control of both the pursuer and the evader. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56484]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China 2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China |
| 推荐引用方式 GB/T 7714 | Xin Wang,Qing-Lai Wei,Tao Li,et al. Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration[J]. Machine Intelligence Research,2024,21(3):585-596. |
| APA | Xin Wang,Qing-Lai Wei,Tao Li,&Jie Zhang.(2024).Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration.Machine Intelligence Research,21(3),585-596. |
| MLA | Xin Wang,et al."Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration".Machine Intelligence Research 21.3(2024):585-596. |
入库方式： OAI收割
来源：自动化研究所
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