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王昕炜，辽宁大连人。本硕博均就读于大工力学系，19年博士毕业后在大工控制学院开展博士后工作，22年入职力学系副教授。主要研究方向为无人装备的轨迹规划、运动控制、任务规划。阶段性成果可参见B站【space.bilibili.com/18365910】。依托上述研究内容，先后主持了装备预研、国自然等纵向和企事业单位横向课题(沈飞、北航等)。以第一作者出版计算最优控制专著1部，以第一/通讯作者发表SCI论文35篇（ESI高被引4篇），授权国家发明专利20+项。获2021年中国力学学会优秀博士学位论文（提名奖）、2021年辽宁省优秀博士学位论文。欢迎具有数学、计算机、自动化、航空航天等交叉学科背景的学生保研/报考。近期尤其想招具有强化学习专业背景、控制算法验证实验经历的学生。【报考须知】学生需对相关研究富有热情，能够熟练运用python/matlab/C++中至少一种编程语言，通过大学英语4级，对理论力学和数值优化有较好的掌握。入组学生将与数学系王磊教授团队联合培养，主要从事舰载装备运用与保障相关研究工作，科研与工程并重，学生需具备充足的抗压能力。ps：课题组氛围主打一个欢快，增肥和发文章都能照进现实。 主要合作者l 王磊@大连理工大学l 苏析超@海军航空大学l 李柏@湖南大学l 刘洁@军事科学院 学生获奖l 2023年7月 学生组团 第九届中国研究生未来飞行器创新大赛三等奖l 2023年9月 研二学生 国奖l 2023年9月 研二学生 海信奖学金l 2024年9月 博一学生 第二次国奖 研究领域l 计算最优控制算法研制（处理约束、时滞等）l 航母舰载机出动/回收规划与控制（甲板调运、自动着舰）l 无人装备运维规划（作战/维修任务规划）l 基于强化学习的智能决策（战斗机智能空战） 专著l Wang X, Liu J, Peng H. Symplectic Pseudospectral Methods for Optimal Control. Springer, 2020. 论文■综述l Wang X, Liu J, Su X, Peng H, Zhao X, Lu C. A review on carrier aircraft dispatch path planning and control on deck. Chinese Journal of Aeronautics, 2020,33(12): 3039-3057.l Wang X*, Wang Y, Su X*, Wang L, Lu C, Peng H, Liu J. Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction. Artificial Intelligence Review, 2024, 57(1):1.l Wang X, Wang H, Zhang H, Wang M, Wang L, Cui K, Lu C, Ding Y. A Mini Review on UAV Mission Planning. Journal of Industrial and Management Optimization, 2023, 19(5): 3362-3382.l Zhang T, Liu H, Wang W, Wang X*. Virtual Tools for Testing Autonomous Driving: A Survey and Benchmark of Simulators, Datasets, and Competitions. Electronics, 2024, in press.l 彭海军, 王磊, 王昕炜, 吴志刚, 易雪玲. 计算最优控制辛数值方法. 计算力学学报,2024,41(1):47-57.■计算最优控制的辛方法l Wang X, Peng H, Zhang S, Chen B, Zhong W. A symplectic pseudospectral method for nonlinear optimal control problems with inequality constraints. ISA Transactions, 2017, 68:335-352. l Wang X, Peng H, Zhang S, Chen B, Zhong W. A symplectic local pseudospectral method for solving nonlinear state-delayed optimal control problems with inequality constraints. International Journal of Robust & Nonlinear Control, 2018, 28(6):2097-2120. l Wang X, Liu J, Peng H, Zhao X. A fast-moving horizon estimation method based on the symplectic pseudospectral algorithm. Transactions of the Institute of Measurement and Control, 2021, 43(11):2500-2511.l Wang X, Liu J, Peng H, Zhao X. An iterative framework to solve nonlinear optimal control with proportional delay using successive convexification and symplectic multi-interval pseudospectral scheme. Applied Mathematics and Computation, 2022, 435:127448.l Yi X, Wang L, Jin J, Liu X, Deng Z, Wang X*. A novel successive convexification framework with symplectic pseudospectral solutions for nonlinear optimal control problems of constrained pantograph delay systems. International Journal of Systems Science, 2024, in press.l Peng H, Wang X, Li M, Chen B. An hp symplectic pseudospectral method for nonlinear optimal control. Communications in Nonlinear Science & Numerical Simulation, 2017, 42:623-644. l Peng H, Wang X, Zhang S, Chen B. An iterative symplectic pseudospectral method to solve nonlinear state-delayed optimal control problems. Communications in Nonlinear Science & Numerical Simulation, 2017, 48:95-114.l Peng H, Wang X, Shi B, Zhang S, Chen B. Stabilizing constrained chaotic system using a symplectic pseudospectral method. Communications in Nonlinear Science & Numerical Simulation, 2018, 56:77-92. l Shi B, Peng H, Wang X, Zhong W. A symplectic direct method for motion-driven optimal control of mechanical systems. Communications in Nonlinear Science & Numerical Simulation, 2022, in press.l Shi B, Peng H, Wang X, Zhong W, Gao L, Fottner J. A symplectic indirect approach for a class of nonlinear optimal control problems of differential-algebraic systems. International Journal of Robust & Nonlinear Control, 2021, 31(7), 2712-2736.l Wang X, Peng H. A Symplectic Moving Horizon Estimation Algorithm with Its Application to the Earth-Moon L2 Libration Point Navigation. Astrodynamics, 2019, 3(2):137-153.■基于最优控制的运动控制l Wang X, Liu J, Peng H, Qie X, Zhao X, Lu C. A simultaneous planning and control method integrating APF and MPC to solve autonomous navigation for USVs in unknown environment. Journal of Intelligent & Robotic Systems, 2022, 105(2): 1-16.l Wang X, Deng Z, Peng H, Wang L, Wang Y, Tao L, Lu C, Peng Z. Autonomous docking trajectory optimization for unmanned surface vehicle: a hierarchical method. Ocean Engineering, 2023, 279:114156.l Li X, Wang L, Wang H, Tao L, Wang X*. A Warm-started Trajectory Planner for Fixed-wing Unmanned Aerial Vehicle Formation, Applied Mathematical Modelling, 2023, 122: 200-219.l Wang X, Liu J, Zhang Y, Shi B, Jiang D, Peng H. A unified symplectic pseudospectral method for motion planning and tracking control of 3D underactuated overhead cranes. International Journal of Robust & Nonlinear Control, 2019, 29(7):2236-2253. l Wang X, Liu J, Peng H, Gao L, Fotter J, Liu P. Input-constrained chaos synchronization of horizontal platform systems via a model predictive controller. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 235(20):4862-4872.l Wang X, Liu J, Dong X, Peng H, Li C. An energy-time optimal autonomous motion control framework for overhead cranes in the presence of obstacles. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 235(13):2373-2385.l Peng H, Bao J, Huang G, Li Z, Wang X*. Chance-Constrained Sneaking Trajectory Planning for Reconnaissance Robots. Applied Mathematical Modelling, 2022, 112:224-237.l Peng H, Shi B, Song J, Wang X*. A symplectic method for trajectory planning of general tractor-trailer systems. Applied Mathematical Modelling, 2023, 114:205-229.l Peng H, Zhao H, Wang X, Li Y. Robust motion trajectory optimization of overhead cranes based on polynomial chaos expansion. ISA Transactions, 2021, 110, 71-85.l Peng H, Shi B, Wang X, Li C. Interval estimation and optimization for motion trajectory of overhead crane under uncertainty. Nonlinear Dynamics, 2019, 96(2):1693-1715.l Teng J, Du X, Wang L, Wang X, Wu J. Model predictive control of discrete-time linear systems by ADMM with applications to turbofan engine control problems. Journal of Applied and Numerical Optimization, 2023, 5(2):201-217.l Han X, Zhao X, Xu X, Mei C, Xing W, Wang X. Trajectory tracking control for underactuated autonomous vehicles via adaptive dynamic programming. Journal of the Franklin Institute, 2024, 361(1): 474-488.l 彭海军，施博洋，王昕炜，谢小辉，孙立宁．考虑区间不确定性的双摆吊车运动轨迹规划．机械工程学报, 2019, 55(2):204-213.■舰载机出动/回收规划与控制l Wang X, Li B, Su X, Peng H, Wang L, Lu C, Wang C. Autonomous dispatch trajectory planning on flight deck: a search-resampling-optimization framework. Engineering Applications of Artificial Intelligence, 2023, 119: 105792. l Wang X, Deng Z, Li H, Wang L, Jin J, Su X. Safe Dispatch Corridor: Towards Efficient Trajectory Planning for Carrier Aircraft Traction System on Flight Deck. IEEE Transactions on Aerospace and Electronic Systems, 2024, in press.l Deng Z, Liu X, Dou Y, Su X, Li H, Wang L, Wang X*. Autonomous sortie scheduling for carrier aircraft fleet under towing mode. Defence Technology, 2024, in press.l Wang X, Peng H, Liu J, Dong X, Zhao X, Lu C. Optimal control based coordinated taxiing path planning and tracking for multiple carrier aircraft on flight deck. Defence Technology, 2022, 18(2): 238-248.l Liu J, Dong X, Wang X*, Cui K, Qie X, Jia J. A homogenization-planning-tracking method to solve cooperative autonomous motion control for heterogeneous carrier dispatch systems. Chinese Journal of Aeronautics, 2022, 35(9): 293-305.l Liu J, Han W, Wang X*, Li J. Research on cooperative trajectory planning and tracking problem for multiple carrier aircraft on the deck. IEEE System Journal, 2019, 14(2):3027-3038.l Liu J, Dong X, Wang J, Lu C, Zhao X, Wang X*. A Novel EPT Autonomous Motion Control Framework for an Off-axle Hitching Tractor-trailer System with Drawbar. IEEE Transactions on Intelligent Vehicles, 2021, 6(2):375-285. l Liu J, Han W, Peng H, Wang X. Trajectory planning and tracking control for towed carrier aircraft system. Aerospace Science and Technology, 2019, 84:830-838. l Cui K, Han W, Liu Y, Wang X, Su X, Liu J. Model Predictive Control for Automatic Carrier Landing with Time Delay. International Journal of Aerospace Engineering, 2021, 2021:8613498.l 刘洁,董献洲,韩维,王昕炜*,刘纯,贾珺. 采用牛顿迭代保辛伪谱算法的舰载机甲板路径规划. 浙江大学学报(工学版), 2020(9), 1827-1838.l 韩维,崔凯凯,刘洁,王昕炜,张勇.一种基于自校正MPC的舰载机着舰控制技术.系统工程与电子技术, 2022, 44(1):250-261.■装备作战/维修任务规划l Yu X, Gao X, Wang L, Wang X*, Ding Y, Lu C, Zhang S. Cooperative Multi-UAV Task Assignment in Cross-Regional Joint Operations Considering Ammunition Inventory, Drones, 2022, 6(3):77.l Gao X, Wang L, Yu X, Su X, Ding Y, Lu C, Peng H, Wang X*. Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs. Engineering Applications of Artificial Intelligence, 2023, 123:106404. l Wang X, Gao X, Wang L, Su X, Jin J, Liu X, Deng Z. Resilient multi-objective mission planning for UAV formation: A unified framework integrating task pre- and re-assignment. Defence Technology, 2024, in press.l Li C, Su X*, Zhang Y, Han W, Guo F, Li X, Wang X*. Integrated scheduling method for fleet wave sorties and maintenance of naval distributed platforms. Advanced Engineering Informatics, 2024, 59: 102340.l Li C, Zhang Y, Su X*, Wang X*. An Improved Optimization Algorithm for Aeronautical Maintenance and Repair Task Scheduling Problem. Mathematics, 2022, 10(20), 3777.l Gao X, Wang L, Su X, Lu C, Ding Y, Wang C*, Peng H, Wang X*. A Unified Multi-Objective Optimization Framework for UAV Cooperative Task Assignment and Re-Assignment. Mathematics, 2022, 10(22), 4241.l 张鸿运, 王磊, 张旭, 丁宇, 吕琛, 王昕炜*. 考虑子系统执行能力的多无人机协同任务规划.系统工程与电子技术, 2023, 45(1): 127-328.■生物系统建模与控制l Wang X, Peng H, Shi B, Jiang D, Zhang S, Chen B. Optimal vaccination strategy of a constrained time-varying SEIR epidemic model. Communications in Nonlinear Science & Numerical Simulation, 2019, 67:37-48. l Wang X, Liu J, Dong X, Li C, Zhang Y. A symplectic pseudospectral method for constrained time-delayed optimal control problems and its application to biological control problems. Optimization, 2021,70(12):2527-2557.l Zhang J#, Wang X#, Rong L, Pan Q, Bao C, Zheng Q. Planning for the optimal vaccination sequence in the context of a population-stratified model. Socio-Economic Planning Sciences, 2024, 92: 101847.l Zheng Q#, Wang X#, Bao C#, Ji Y, Liu H, Meng Q, Pan Q. A multi-regional, hierarchical-tier mathematical model of the spread and control of COVID-19 epidemics from epicentre to adjacent regions. Transboundary and Emerging Diseases, 2022, 69(2):549-558.l Zheng Q, Wang X*, Pan Q, Wang L. Optimal strategy for a dose-escalation vaccination against COVID-19 in refugee camps. AIMS Mathematics, 2022, 7(5): 9288-9310.l Zhang K, Wang X, Liu H, Ji Y, Pan Q, Wei Y, Ma M. Mathematical analysis of a human papillomavirus transmission model with vaccination and screening. Mathematical Biosciences and Engineering, 2020, 17(5): 5449-5467.l Zheng Q, Wang X, Bao C, Ma Z, Pan Q. Mathematical modelling and projecting the second wave of COVID-19 pandemic in Europe. Journal of Epidemiology and Community Health, 2021, 75(6):601-603.l Zheng Q#, Bao C#, Ji Y, Li P, Ma Z, Wang X, Meng Q, Pan Q. Treating SARS-CoV-2 Omicron variant infection by molnupiravir for pandemic mitigation and living with the virus: a mathematical modeling study. Scientific Reports, 2023, 13: 5474.l Ma W, Ma N, Dai C, Chen Y, Wang X. Fractional modeling and optimal control strategies for mutated COVID-19 pandemic. Mathematical Methods in the Applied Sciences, 2023, in press.l 王昕炜, 彭海军, 钟万勰. 具有潜伏期时滞的时变SEIR模型的最优疫苗接种策略. 应用数学与力学, 2019, 40(7):701-712.■控制理论l Wu C, Zhao X, Wang B, Xing W, Liu L, Wang X. Model-based dynamic event-triggered control for cyber-physical systems subject to dynamic quantization and DoS attacks. IEEE Transactions on Network Science and Engineering, 2022, 9(4):2406–2417. 专利■授权[1] 王昕炜，刘洁，彭海军，董献洲，吕琛. 基于集中式最优控制的多舰载机协同甲板面滑行轨迹规划方法. 201911028985.8.[2] 王昕炜，刘洁，刘纯，彭海军，张盛，陈飙松，李云鹏. 一种基于障碍尺寸同伦策略的机器人轨迹规划最优控制方法. 202010223370.7.[3] 王昕炜，刘洁，董献洲，彭海军，张盛，陈飙松，李云鹏，刘纯. 一种基于割线法确定终端时间的航天器姿态调整能量-时间混合最优控制方法. 202010222952.3.[4] 王昕炜，刘洁，董献洲，彭海军，张盛，陈飙松，李云鹏，吕琛.一种考虑避障的桥式起重机路径规划方法. 202010669502.9.[5] 王昕炜，刘洁，彭海军，陈飙松，张盛，李云鹏，吕琛. 一种考虑角速度约束和改进斥力场的人工势场路径规划方法. 202110183136.0.[6] 王昕炜，鲍锦秋，彭海军，张盛，李云鹏，陈飙松，刘洁，吕琛. 一种考虑地形与地势影响的两栖无人战车的路径规划方法. 2021110811903.8.[7] 刘洁，董献洲，王昕炜，高岚岚，刘纯，徐浩，雷霆，赵中正，彭海军，吴文波. 一种基于同构化-跟踪的多舰载异构体舰面协同轨迹规划与控制方法. 202110123205.9.[8] 王昕炜，刘洁，郑钦月，彭海军，陈飙松，张盛，李云鹏. 一种基于最优控制的流感疫苗注射策略制定方法. 202010192323.0.[9] 刘洁，董献洲，王昕炜，贾珺，刘纯，彭超，雷霆，徐浩，樊硕，邱凯. 一种基于抽取虚拟飞机策略的有杆牵引飞机系统轨迹规划方法. 202110123238.3.[10] 王昕炜，王磊，高晓华，张鸿运，丁宇，吕琛，张盛. 融合多目标进化算法和合同网算法的多无人机系统任务分配方法. 202210226013.5.[11] 王昕炜，王磊，余馨咏，高晓华，丁宇，吕琛，张盛. 一种跨区域联合作战中的多无人机协同任务规划方法. 202210226012.0.[12] 王昕炜，李柏，邓芝龙，王轶辉，苏析超，刘洁，彭海军，吕琛. 一种基于安全调运走廊的航母舰载机甲板滑行轨迹规划方法. 202211128429.X.[13] 王昕炜，郑钦月，张凯，刘华，潘秋卫，冀云鹏，彭海军，赵旭东. 一种面向宫颈癌防治的HPV长期最优治疗策略制定方法. 202010247899.2. [14] 王昕炜，王磊，张鸿运，高晓华，丁宇，吕琛，张盛. 一种考虑子系统执行能力的多机协同任务规划方法. 202210226018.8. [15] 魏玉梅，刘华，张凯，王昕炜，郑钦月，潘秋卫，冀云鹏，彭海军.一种面向HPV及其导致的宫颈癌的最优疫苗接种策略和筛查策略制定方法. 202010685072.X.[16] 韩维，刘洁，张勇，王昕炜，刘纯，郭放，苏析超. 一种基于NSP算法的舰载机甲板路径规划最优控制方法. 201910818148.9.[17] 王昕炜，王磊，张鸿运，陶来发，吕琛，高晓华，余馨咏，彭海军，张盛. 一种考虑载具投递模式的无人机群协同任务规划方法. 202211423092.5.[18] 王昕炜，刘洁，董献洲，彭海军，张盛，陈飙松，李云鹏，苏析超，吕琛. 一种基于模型预测控制的舰载机滑行轨迹跟踪方法. 202110122300.7.[19] 王昕炜，刘洁，彭海军，陈飙松，张盛，李云鹏，吕琛，姜中堂. 一种基于同步规划-控制策略的水面无人舰艇自主导航方法. 202110181678.4.[20] 王昕炜，王磊，邓芝龙，王轶辉，张盛，彭海军. 一种基于安全航行通道的水面舰艇停泊轨迹规划方法. 202310103992.X.[21] 王昕炜，王磊，高晓华，余馨咏，金峻弘，张盛. 一种无人机群容错任务规划方法. 202310203621.9.[22] 王昕炜，郑钦月，包春兵，孟庆春，张盛，彭海军，李云鹏，陈飙松，姜曼頔. 一种基于多仓室模型动态特征的流行病动力学预测方法. 202110399032.3.[23] 王昕炜，郑钦月，包春兵，孟庆春，张盛，彭海军，李云鹏，陈飙松，姜曼頔. 一种开放体系下新发传染病的跨区域传播预测方法. 202110399152.3.[24] 王昕炜，邓芝龙，彭海军，王磊，王轶辉，张盛. 一种无杆牵引构型下舰载机甲板调运轨迹规划方法. 202310356904.7. ■在审[1] 韩维，崔凯凯，刘洁，王昕炜，苏析超，张勇，崔荣伟，陶俊权. 基于保辛算法和模型预测控制的舰载机着舰控制方法. 202110584233.0.[2] 王昕炜，王磊，高晓华，余馨咏，彭海军，吕琛. 一种基于条件概率的考虑多目标进化算法的多异构无人机系统协同任务分配方法. 202211191094.6.[3] 王昕炜，王磊，李昕，易雪玲，邓芝龙，高晓华，张盛. 一种固定翼无人机编队的热启动轨迹规划方法. 202310314751.X.[4] 王昕炜，刘轩搏，苏析超，李常久，王磊，张盛. 一种考虑人员疲劳不确定性影响的模糊舰载机机库维修调度方法. 202410057983.6.[5] 王昕炜，王磊，邱佳硕，余馨咏，金峻弘，张根莱，苏析超. 异构载具投递模式下异构无人机协同任务规划建模与求解方法.[6] 王昕炜，王磊，张根莱，邓芝龙，刘轩搏，李柯岩，金峻弘，刘凯. 一种考虑逃逸和空中加油的舰载机动态着舰调度方法.