[1]张学军, 李诚龙, 张志远, 等.低空航行系统实时风险管理能力构建:概念?挑战与技术[J].航空学报, 2025, 46(11):8-34
[2]ZHANG X J, LI C L, ZHANG Z Y, et al.Constructing in-time risk management capabilities for low-altitude aviation systems: Concepts,technologies,and challenges[J].Acta Aeronautica et Astronautica Sinica, 2025, 46(11):8-34
[3]RTCA DO-365C, Minimum operational performance standard for detect and avoid systems[S].Washington, D.C: Radio Technical Commission for Aeronautics, 2020.
[4]COOPER J K, SCHIERMAN J D.A sense and avoid system for unmanned aircraft in formation flight[C]. AIAA Guidance, Navigation, and Control Conference, 2014: 967-986.
[5]全国航空器标准化技术委员会(SAC/TC 435), 国家市场监督管理总局, 国家标准化管理委员会.GB 42590-2023∶民用无人驾驶航空器系统安全要求[S]. 北京∶中国标准出版社, 2023.
[6]State Administration for Market Regulation, National Standardization Administration Safety requirements for civil unmanned aircraft system(GB 42590-2023)[S].Beijing:China Standard Publishing House, 2023.
[7]HARMAN W H.TCAS—A system for preventing midair collisions[J].The Lincoln Laboratory Journal, 1989, 2(3):437-457
[8]KOCHENDERFER M J, AMATO C, CHOWDHARY G, et al.Optimized airborne collision avoidance [M]. In: Decision Making Under Uncertainty: Theory and Application. Cambridge: MIT Press, 2015: 249-276.
[9]汤新民, 李帅, 顾俊伟, 等.一种无人机冲突探测与避让系统决策方法[J/OL].电子与信息学报, 1-8[2025-03-11][J].电子与信息学报, 2025, 47(5):1301-1309
[10]TANG X M., LI S., GU J W., et al. A decision-making method for UAV conflict detection and avoidance system [J/OL]. Journal of Electronics and Information Technology, 1-8 [2025-02-22] (in Chinese).[J].Journal of Electronics and Information Technology, 2025, 47(5):1301-1309
[11]GARCIA J, FERNANDEZ F.A comprehensive survey on safe reinforcement learning[J].The Journal of Machine Learning Research, 2015, 16(1):1437-1480
[12]王雪松, 王荣荣, 程玉虎.安全强化学习综述[J].自动化学报, 2023, 49(9):1813-1835
[13]WANG X S, WANG R-R, Cheng Y H.Safe reinforcement learning: A survey[J].Acta Automatica Sinica, 2023, 49(9):1813-1835
[14]CHOW Y, GHAVAMZDEH M, JANSON L, et al.Risk-constrained reinforcement learning with percentile risk criteria[J].Journal of Machine Learning Research, 2017, 18(1):6070-
[15]RAY A, ACHIMA J, AMODEI D. Benchmarking safe exploration in deep reinforcement learning[J]. arXiv prep.[J].rXiv:1910.01708, 2019, 7(1): 2., rint, :-
[16]SCHULMAN J, WOLSKI F, DHARIWAL P, et al.Proximal policy optimization algorithms[J]. arXiv prep.[J].rXiv:1707.06347, 2017., rint, :-
[17]岳龙飞, 杨任农, 闫孟达, 等.对抗条件下基于-的智能规划[J].电光与控制, 2024, 31(08):1-7
[18]YUE L F, YANG R N, YAN M D.UAV intelligent mission planning based on SAC-Lagrangian under confrontation conditions[J].Electronics Optics & Control, 2024, 31(08):1-7
[19]ROY J, GIRGIS R, ROMOFF J, et al. Direct behavior specification via constrained reinforcement learning. ArXiv Preprint, 2.[J].rXiv: 2112.12228., 021:, :-
[20]ACHIAM J, HELD D, TAMAR A, et al. Constrained policy optimization. ArXiv Preprint, 2.[J].rXiv: 1705.10528., 017:, :-
[21]SCHULMAN J, LEVINE S, ABBEEL P, et al.Trust region policy optimization. The 32nd International Conference on Machine Learning. Lille, France: 2015, 37: 1889 – 1897.
[22]ALTMAN E.Constrained Markov Decision Processes. volume 7. CRC Press, 1999.
[23]PHAN D T, GROSU R, JANSEN N, et al.Neural simplex architecture [C]// Proceedings of the 12th International Symposium on NASA Formal Methods.Cham: Springer, 2020: 97-114.
[24]EMAM Y, NOTOMISTA G, GOTFELTER P, et al.Safe reinforcement learning using robust control barrier functions[J]. IEEE Robotics and Automation Letters, 2022.
[25]滕菲, 王迎春, 姚永辉, 等.基于深度强化学习的无人机动态避障规划[J/OL].北京航空航天大学学报, 1-13[2025-10-19].https://doi.org/10.13700/j.bh.1001-5965.2025.0084.
[26]TENG F, Wang Y, YAO Y, et al.Dynamic obstacle avoidance planning for unmanned aerial vehicles based on deep reinforcement learning[J/OL]. Journal of Beijing University of Aeronautics and Astronautics, 1–13[2025-10-19]. https://doi.org/10.13700/j.bh.1001-5965.2025.0084(in Chinese).
[27]张昌昕, 张兴龙, 徐昕, 等.安全强化学习及其在机器人系统中的应用综述[J].控制理论与应用, 2023, 40(12):2090-2103
[28]ZHANG C X, ZHANG X L, XU X, et al.Safe reinforcement learning and its applications in robotics: A survey[J].Control Theory & Applications, 2023, 40(12):2090-
[29]SCHULMAN J, MORITZ P, LEVINE S, et al. High-dimensional continuous control using generalized advantage estimation[J]. arXiv prep.[J].rXiv:1506.02438, 2015., rint, :-
[30]SAE G-34 Working Group, SAE AIR6994: Artificial Intelligence in Aeronautical Systems: Use Cases (Draft v8) [S].Warrendale: SAE International, 2021.
[31]ZHANG L, SHEN L, YANG L, et al. Penalized proximal policy optimization for safe reinforcement learning[J]. arXiv prep.[J].rXiv:2205.11814, 2022., rint, :-
[32]LIU Y, DING J, LIU X.Ipo: Interior-point policy optimization under constraints[C]//Proceedings of the AAAI conference on artificial intelligence. 2020, 34(04): 4940-4947.
[33]JI J, ZHOU J, ZHANG B, et al.Omnisafe: An infrastructure for accelerating safe reinforcement learning research[J].Journal of Machine Learning Research, 2024, 25(285):1-6
[34]JI J, ZHANG B, ZHOU J, et al.Safety gymnasium: A unified safe reinforcement learning benchmark[J]. Advances in Neural Information Processing Systems, 2023, 36: 18964-18993.