贾江波，博士，讲师，硕导。
个人简介：2024年毕业于南京航空航天大学，获工学博士学位。主要研究方向：多无人机控制。作为骨干成员参与国家重大项目某型号无人机攻击机飞行控制系统的维护和升级工作、国家自然科学基金面上项目、航空基金项目、JKW重点实验室项目等科研项目，相关成果已发表SCI期刊论文9篇（其中第一作者/通讯作者5篇），申请发明专利两项，荣获2023年第三季度“Wiley威立中国开放科学高贡献作者（Open Science Excellent Author Program）”、2023年度“Wiley年度最高被引论文（Top Cited Article）”。
联系方式：jiangbo_jia@126.com
主要科研项目：
1. 国家重大项目:某型号无人攻击机飞行控制系统升级和维护，主要成员。
2. 国家自然科学基金面上项目：面向高通量低损伤全自动化细胞显微注射操作的柔性并联微机器人关键技术，2024.01至2027.12，在研，骨干成员；
3. 河北重大科技支撑计划项目：固定翼物流无人机协同作业关键技术研究，242G1601Z，2024.10至2026.06，在研，骨干成员；
4. JKW 科技委国防重点实验室基金项目：基于多智能体深度强化学习的无人机集群动态任务规划技术研究，2023.01至2025.12，50万元，在研，骨干成员；
5. 教育部产学研创新基金：基于多智能体深度强化学习的无人机集群协同作战任务分配与航迹规划方法研究，2022.07至2023.12，结题，骨干成员。
6. 江苏省自然科学基金面上项目“柔性并联微操作手术机器人模态解耦机制与力位混合控制技术研究”， 2023.09~今，主要成员。
7. 中国航天科技集团第八研究院产学研合作基金“复杂环境下**分布式编队跨域协同技术研究”， 2022.01~2023.12，主要成员。
代表性论文：
[1] Jia Jiangbo, Chen Xin, Wang Weizhen, Wu Kaili, Xie Mingyang*. Distributed observer-based finite-time control of moving target tracking for UAV formation[J]. ISA transactions, 2023, 140: 1-17.
[2] Jia Jiangbo, Chen Xin, Wang Weizhen, Liao Hongjin, Xie Mingyang*. Collision avoidance in target encirclement and tracking of unmanned aerial vehicles under a dynamic event-triggered formation control[J]. Control Engineering Practice, 2024, 142: 105781.
[3] Jia Jiangbo*, Chen Xin, Wang Weizhen, Zhang Min. Distributed control of target cooperative encirclement and tracking using range‐based measurements[J]. Asian Journal of Control, 2023, 25(6): 4595-4608.
[4] Jia Jiangbo*, Chen Xin, Wang Weizhen, Zhang Min. Event‐triggered cooperative control for moving target encirclement and tracking with time‐varying pattern by UAV formation[J]. IET Control Theory & Applications, 2024, 18(1): 55-70.
[5] Liao Hongjin, Chen Xin, Jia Jiangbo*, Zhu Guangyuan. Distributed fast F‐T control for UAV formation in the presence of unknown input disturbances[J]. International Journal of Robust and Nonlinear Control, 2024, 34(14): 9984-10008.
[6] Zhang Min, Jia Jiangbo, Mei J. A composite system theory-based guidance law for cooperative target circumnavigation of UAVs[J]. Aerospace Science and Technology, 2021, 118: 107034.
[7] Jia Jiangbo*, Chen X, Wang W, et al. Cooperative Control of Multi-UAV for Multi-Targets Encirclement and Tracking Based on Potential Game[100]//2023 42nd Chinese Control Conference (CCC). IEEE, 2023: 3778-3785.
[8] Jia Jiangbo*, Chen X, Zhang M, et al. Circular formation control for the cooperative ground target tracking of unmanned aerial vehicle[100]//2021 40th Chinese Control Conference (CCC). IEEE, 2021: 414-420.
[9] Jia Jiangbo*, Chen X, Zhang M, et al. A distributed control for ground target tracking of nonlinear unmanned aerial vehicles formation[100]//Journal of Physics: Conference Series. IOP Publishing, 2022, 2216(1): 012062.
[10] Wang W, Chen X, Jia Jiangbo, et al. Optimal formation tracking control based on reinforcement learning for multi-UAV systems[J]. Control Engineering Practice, 2023, 141: 105735.
[11] Wang W, Chen X, Jia Jiangbo, et al. Distributed robust formation tracking control for multi-UAV systems[J]. Transactions of the Institute of Measurement and Control, 2022: 01423312221124067.
[12] Wang W, Chen X, Jia Jiangbo, et al. Target localization and encirclement control for multi‐UAVs with limited information[J]. IET Control Theory & Applications, 2022, 16(14): 1396-1404.
[13] W. Wang, X. Chen, Jia Jiangbo, et al. Optimal Formation Tracking Control for Multi-UAVs System with Uncertain Dynamics and Unknown Disturbance[100]//2023 42nd Chinese Control Conference (CCC). IEEE, 2023: 1531-1535.
[14] Liao H, Chen X, Jia Jiangbo*, et al. Fixed-Time Control for Cooperative Target Encirclement and Tracking by Multi-UAV[100]//International Conference on Artificial Intelligence, Robotics, and Communication. Singapore: Springer Nature Singapore, 2023: 287-298.
代表性专利：
[1] 陈欣; 贾江波; 廖洪瑾; 朱广沅; 王威振. 一种基于势博弈的多无人机对多目标环绕跟踪协同控制方法:202310826191.6[P].2023-09-05.
[2] 陈欣; 王威振; 朱广沅; 廖洪瑾; 贾江波. 一种多无人机系统最优编队跟踪控制方法:202310716361.5[P].2023-09-19.
