2024.07-今 教授，北京师范大学，系统科学学院

2018.12-2024.06 副教授，北京师范大学，系统科学学院

2017.06-2018.12 助理研究员，中国科学院自动化研究所, 复杂系统管理与控制国家重点实验室

2014.11-2017.06 博士后，中国科学院自动化研究所，复杂系统管理与控制国家重点实验室

2009.08-2014.06 工学博士，吉林大学，控制理论与控制工程

2005.09-2009.07 工学学士，吉林大学，自动化

[1]2021、2022、2023年度斯坦福全球前2%顶尖科学家榜

[2]北京师范大学仲英青年学者，2021.11.13-2024.11.12

[3]中国自动化学会自然科学一等奖：魏庆来，王飞跃，刘德荣，赵博. 离散与连续时间自适应动态规划自学习最优控制，2022.11.

[4]吉林省科学技术二等奖：李元春, 刘克平, 王德军, 赵博, 高巍, 刘帅师, 唐志国. 柔性机械臂系统动力学建模与控制方法, 吉林省科学技术奖励委员会, 2013.12.16.

[5]最佳论文奖：Mingduo Lin, Bo Zhao*, Hongbing Xia, Derong Liu. Safety-aware optimal control of nonlinear systems using off-policy reinforcement learning. Proceedings of 2023 International Annual Conference on Complex Systems and Intelligent Science, Shenzhen, China, Oct. 20-22, 2023.

[6]最佳理论论文奖：Xuan Rao, Bo Zhao*, Derong Liu, Haowei Lin. A feedback-inspired super-network shrinking framework for flexible neural architecture search. Proceedings of the 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC2023), Hefei, China, 2023.8.27-29.

[7]最佳论文奖：Jiarui Ye, Bo Zhao*, Derong Liu. Temporal Decomposition Transformer for Probabilistic Energy Forecasting. Proceedings of 2022 1st International Conference on Cyber-Energy Systems and Intelligent Energies, Shenyang, China, 2023.5.5-7.

[8]最佳论文奖：Yongwei Zhang, Shunchao Zhang, Bo Zhao*, Derong Liu. Multi-player robust control of Stackelberg games via adaptive dynamic programming. Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, Emeishan, China, 2022.8.3-5.

[9]最佳张贴论文奖: Shunchao Zhang, Bo Zhao*, Derong Liu, Yongwei Zhang. Observer-based H∞ tracking control scheme and its application to robot arms. Proceedings of the 3rd IFAC Conference on Cyber-Physical & Human Systems, Beijing, China, 2020.12.3-5.

[10]最佳学生论文提名奖：Xi Liu, Derong Liu, Bo Zhao*. Fault tolerant tracking control through particle swarm optimization based policy iteration. Proceedings of the 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC2020), Zhanjiang, China, 2020.10. (指导研究生获得)

学术组织

[1]中国自动化学会自适应动态规划与强化学习专业委员会秘书长, 2021-.

[2]Senior Member, IEEE (Institute of Electrical and Electronics Engineers), 2020-.

[3]Member, APNNS (Asia Pacific Neural Network Society), 2016-.

[4]中国自动化学会高级会员, 2023-

[5]中国自动化学会青年工作委员会委员, 2017-.

[6]中国自动化学会数据驱动控制、学习与优化专业委员会委员, 2020-.

[7]中国自动化学会能源互联网专业委员会委员, 2017-.

[8]中国人工智能学会智能自适应协同优化控制专业委员会委员，2022-

期刊编委

[1]Associate Editor, Artificial Intelligence Review, 2023-.

[2]Associate Editor, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022-.

[3]Associate Editor, Neurocomputing, 2021-.

[4]青年编委，Early Career Advisory Board Member, IEEE/CAA Journal of Automatica Sinica, 2021-.

[5]Guest Editor: Bo Zhao, Wenyi Zeng, Weinan Gao, Qichao Zhang. Special Issue on Computational Intelligence in Analysis and Integration of Complex Systems in Complex & Intelligent Systems. 2020.

会议任职

[1]Finance Chair: 2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC 2024), Guangzhou, China, 2024.9.20-22

[2]Registration Chair: 2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC 2023), Shenzhen, China, 2023.10.20-22.

[3]Technical Program Committee Co-Chair: 2023 International Conference on Control Science and Systems Engineering (ICCSSE), Shenzhen, China, 2023.6.16-18.

[4]Technical Program Committee Co-Chair: 2022 4th International Conference on Control and Robotics, Guangzhou, China, 2022.10.22-24.

[5]Technical Program Committee Co-Chair: 2021 6th International Conference on Robotics and Automation Engineering, Guangzhou, China, 2021.11.19-22.

[6]Special Session Chair: The 17th International Symposium on Neural Networks. Cairo, Egypt, 2020.12.4-6.

[7]Conference Secretariats: 2017 the 24th International Conference on Neural Information Processing, 2017.11.14-18.

[8]CAC2021专题论坛：刘德荣，赵博. 自适应动态规划与强化学习，昆明，2022.8.13.

[9]CAC2022专题论坛：王成红，刘德荣，赵博. 元控制：元宇宙中的元系统控制，厦门，2022.11.26.

项目研究

科研项目(纵向课题)

[1]国家自然科学基金面上项目，61973330，融合数据与自学习优化的故障时变互联系统有限时间自愈控制，2020/01-2023/12，已结题，主持。

[2]国家自然科学基金青年基金项目，61603387，面向未知非线性关联系统主动容错控制的自适应动态规划方法，2017/01-2019/12，已结题，主持。

[3]国家自然科学基金面上项目，61773075，基于自适应动态规划的可重构机械臂事件触发分散控制方法研究，2018/01-2021/12，已结题，合作单位负责人。

[4]北京市自然科学基金面上项目，4212038，不完全信息博弈视角下的复杂系统主动安全控制方法，2021/01-2023/12，已结题，主持。

[5]浙江大学工业控制技术国家重点实验室开放课题，ICT2021B48，基于虚实互动的可重构机器人模块化控制方法研究，2021/01-2021/12，已结题，主持。

[6]复杂系统管理与控制国家重点实验室开放课题，20210108，可重构机器人模块化平行容错控制方法研究，2021/01-2022/12，已结题，主持。

[7]工业物联网与网络化控制教育部重点实验室开放基金项目，2021FF10，多智能体系统周期性事件触发分布式协同优化控制方法，2022/01-2023/12，已结题，主持。

[8]吉林省科技发展计划项目，20150520112JH，基于“故障隐藏”机制的可重构机械臂主动分散容错控制方法研究，2015/01-2017/12，已结题，主持。

[9]复杂系统管理与控制国家重点实验室青年基金，20180201，非线性系统平行监督与容错控制方法研究，2018/01-2019/12，已结题，主持。

[10]国家自然科学基金重点项目，61533017，基于数据的建筑群及分布式能源系统一体化建模与自学习优化控制，2016/01-2020/12，已结题，参加。

[11]科技部“科技创新2030-新一代人工智能”重大项目，2018AAA0100203，神经网络自动组织与演化原理，2019/12-2023/12，已结题，参加。

[12]国家重点研发计划项目，2018YFB1702304，智能工厂弹性服务管控平台通用架构及开发工具，2019/05-2022/04，已结题，参加。

教研项目

[13]北京师范大学青年教师教学发展基金项目，2020121，基于问题驱动学习的“一体两翼”下雨课堂教学模式构建——以“神经网络与深度学习”课程为例，2021/01-2021/12，已结题，主持。

[14]北京师范大学2022年度教师思想政治工作、师德师风建设重点难点实践研究项目和“课程思政”建设项目，文化自信视域下“神经网络与深度学习”课程思政教学的探索与实践，2022/04-2023/03，已结题，主持。

发表论文

Journal papers

[1]Bo Zhao, Shunchao Zhang, Derong Liu*. Self-triggered optimal neuro-control for nonlinear systems through adaptive dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2024.3362800, 2024.

[2]Bo Zhao, Guang Shi, Derong Liu*. Event-triggered local control for nonlinear interconnected systems through particle swarm optimization-based adaptive dynamic programming. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Dec. 2023, 53(12): 7342-7353.

[3]Bo Zhao, Yongwei Zhang, Derong Liu*. Adaptive dynamic programming-based cooperative motion/force control for modular reconfigurable manipulators: A joint task assignment approach. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(12): 10944-10954.

[4]Bo Zhao, Fangchao Luo, Haowei Lin, Derong Liu*. Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems. Neural Networks, 2021, 134: 54-63.

[5]Bo Zhao, Derong Liu*, Cesare Alippi. Sliding mode surface-based approximate optimal control for uncertain nonlinear systems with asymptotically stable critic structure. IEEE Transactions on Cybernetics, 2021, 51(6): 2858-2869. (ESI高被引)

[6]Bo Zhao*, Derong Liu, Chaomin Luo. Reinforcement learning-based optimal stabilization for unknown nonlinear systems subject to inputs with uncertain constraints. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(10): 4330-4340.

[7]Bo Zhao, Derong Liu*. Event-triggered decentralized tracking control of modular reconfigurable robots through adaptive dynamic programming. IEEE Transactions on Industrial Electronics, 2020, 67(4): 3054-3064. (ESI高被引)

[8]Bo Zhao*, Guang Shi, Ding Wang. Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances. Neurocomputing, 2020, 396: 201-208.

[9]Bo Zhao, Ding Wang*, Guang Shi, Derong Liu, Yuanchun Li. Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48(10): 1725-1735.

[10]Bo Zhao*, Yuanchun Li. Model-free adaptive dynamic programming based near-optimal decentralized tracking control of reconfigurable manipulators. International Journal of Control, Automation and Systems, 2018, 16(2): 478-490.

[11]Bo Zhao*, Lihao Jia, Hongbing Xia, Yuanchun Li. Adaptive dynamic programming based stabilization of nonlinear systems with unknown actuator saturation. Nonlinear Dynamics, 2018, 93(4): 2089-2103.

[12]Bo Zhao, Derong Liu*, Yuanchun Li. Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems. Information Sciences, 2017, 384: 21-33.

[13]Bo Zhao*, Yuanchun Li, Derong Liu. Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear Systems. Neurocomputing, 2017, 235: 147-156.

[14]Bo Zhao*, Derong Liu, Xiong Yang, Yuanchun Li. Observer-critic structure based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems. International Journal of Systems Science, 2017, 48(9): 1978-1989.

[15]Bo Zhao, Derong Liu*, Yuanchun Li. Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures. IET Control Theory & Applications, 2016, 10(15): 1816-1823.

[16]Bo Zhao, Chenghao Li, Tianhao Ma, Yuanchun Li*. Multiple faults detection and isolation via decentralized sliding mode observer for reconfigurable manipulator. Journal of Electrical Engineering & Technology, 2015, 10(6): 2393-2405.

[17]Bo Zhao, Yuanchun Li*. Local joint information based active fault tolerant control for reconfigurable manipulator. Nonlinear Dynamics, 2014, 77(3): 859-876.

[18]Songyi Xiao, Bo Zhao*, Derong Liu. Semi-supervised accuracy predictor-based multi-objective neural architecture search. Neurocomputing, 2024, 609: 128472.

[19]Qiuye Wu, Bo Zhao*, Derong Liu. Firefly optimized neural network-based trajectory tracking control of partially unknown multi-player nonlinear systems. International Journal of Robust and Nonlinear Control, DOI:10.1002/rnc.7622, 2024.

[20]Zhongbo Sun, Yanpeng Zhou, Shijun Tang, Jun Luo, Bo Zhao*. Noise suppression zeroing neural network for online solving the time-varying inverse kinematics problem of four-wheel mobile manipulators with external disturbances. Artificial Intelligence Review, 2024, 57: 211, DOI: 10.1007/s10462-024-10804-4.

[21]Chuwei Liu, Xuan Rao, Bo Zhao*, Derong Liu, Qinglai Wei, Yonghua Wang. Deep reinforcement learning-based optimal bidding strategy for real-time multi-participant electricity market with short-term load. Electric Power Systems Research, 2024, 233: 110404.

[22]Jiarui Ye, Bo Zhao*, Derong Liu, Qinglai Wei. TADNet: Temporal attention decomposition networks for probabilistic energy forecasting. IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2024.3380388, 2024.

[23]Mingduo Lin, Bo Zhao*, Derong Liu. Optimal learning output tracking control: A model-free policy optimization method with convergence analysis. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2024.3379207, 2024.

[24]Cong Tan, Mingduo Lin, Hongbing Xia, Bo Zhao*. Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games. Neurocomputing, 2024, 567, Art. no. 127037.

[25]Shunchao Zhang, Bo Zhao*, Derong Liu, Yongwei Zhang. Event-triggered decentralized integral sliding mode control for input-constrained nonlinear large-scale systems with actuator failures. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2023, 54(3): 1914-1925.

[26]Jinquan Lin, Bo Zhao*, Derong Liu, Yonghua Wang. Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning. Neurocomputing, 2024, 564, Art. no. 126973.

[27]Zhanyu Yang, Bo Zhao*, Derong Liu. Synchronization of delayed memristor-based neural networks via pinning control with local information. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3270345, 2023.

[28]Chujian Zeng, Bo Zhao*, Derong Liu. Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming. Neurocomputing, 2023, 553: 126502.

[29]Mingduo Lin, Bo Zhao*, Derong Liu. Event-triggered robust adaptive dynamic programming for multiplayer Stackelberg-Nash games of uncertain nonlinear systems. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2023.3251653, 2023.

[30]Mingduo Lin, Bo Zhao*. Policy optimization adaptive dynamic programming for optimal control of input-affine discrete-time nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2023.3247466, 2023.

[31]Dehua Zhang, Xinyuan Hao, Chunbin Qin, Bo Zhao*, Linlin Liang, Wei Liu. An efficient lightweight convolutional neural network for industrial surface defect detection. Artificial Intelligence Review, 2023, 56: 10651-10677.

[32]Mingduo Lin, Bo Zhao*, Derong Liu. Policy gradient and Q-learning with experience replay for nonlinear discrete-time zero-sum games with unknown dynamics. Soft Computing, 2023, 27: 5781-5795.

[33]Shunchao Zhang, Bo Zhao*, Derong Liu, Cesare Alippi, Yongwei Zhang. Event-triggered robust control for multi-player nonzero-sum games with input constraints and mismatched uncertainties. International Journal of Robust and Nonlinear Control, 2023, 33: 3086-3106.

[34]Qiuye Wu, Bo Zhao*, Derong Liu, Marios M. Polycarpou. Event-driven adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems. Neural Networks, 2023, 157, 336-349.

[35]Yongwei Zhang, Bo Zhao*, Derong Liu, Shunchao Zhang. Distributed fault tolerant consensus control of nonlinear multi-agent systems via adaptive dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3217774, 2022.

[36]Yongwei Zhang, Bo Zhao*, Derong Liu, Shunchao Zhang. Adaptive dynamic programming-based event-triggered robust control for multi-player nonzero-sum games with unknown dynamics. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2022.3175650, 2022.

[37]Jiaxin Li, Bo Zhao*, Derong Liu. DMPP: Differentiable multi-pruner and predictor for neural network pruning. Neural Networks, 2022, 147: 103-112.

[38]Yongwei Zhang, Bo Zhao*, Derong Liu, Shunchao Zhang. Event-triggered optimal tracking control of multiplayer unknown nonlinear systems via adaptive critic designs. International Journal of Robust and Nonlinear Control, 2022, 32: 29-51.

[39]Shunchao Zhang, Bo Zhao*, Derong Liu, Yongwei Zhang. Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems. Neural Networks, 2021, 144: 101-112.

[40]Yongwei Zhang, Bo Zhao*, Derong Liu, Shunchao Zhang. Event-triggered control of discrete-time zero-sum games via deterministic policy gradient adaptive dynamic programming. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(8): 4823-4835.

[41]Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao*, Zhenning Li, Donald C. Wunsch. Sparse online kernelized actor-critic learning in reproducing kernel Hilbert space. Artificial Intelligence Review, 2022, 55: 23-58.

[42]Mingduo Lin, Bo Zhao*, Derong Liu. Policy gradient adaptive critic designs for model-free optimal tracking control with experience replay. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(6): 3692-3703.

[43]Fangchao Luo, Bo Zhao*, Derong Liu. Event-triggered decentralized optimal fault tolerant control for mismatched interconnected nonlinear systems through adaptive dynamic programming. Optimal Control Applications and Methods, 2021, 42: 1365-1384.

[44]Shunchao Zhang, Bo Zhao*, Yongwei Zhang. Event-triggered control for input constrained non-affine nonlinear systems based on neuro-dynamic programming. Neurocomputing, 2021, 440, 175-184.

[45]Yongwei Zhang, Bo Zhao*, Derong Liu. Event-triggered adaptive dynamic programming for multi-player zero-sum games with unknown dynamics. Soft Computing, 2021, 25: 2237-2251.

[46]Yongwei Zhang, Bo Zhao*, Derong Liu. Deterministic policy gradient adaptive dynamic programming for model-free optimal control. Neurocomputing, 2020, 387: 40-50.

[47]Haowei Lin, Bo Zhao*, Derong Liu, Cesare Alippi. Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. IEEE/CAA Journal of Automatica Sinica, 2020, 7(4): 954-964. (ESI高被引)

[48]Qiuye Wu, Bo Zhao*, Derong Liu. Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay. International Journal of Systems Science, 2020, 51(15): 2883-2898.

[49]Xi Liu, Bo Zhao*, Derong Liu. Fault tolerant tracking control for nonlinear systems with actuator failures through particle swarm optimization-based adaptive dynamic programming. Applied Soft Computing, 2020, 97: 106766.

[50]Yuanchun Li, Hongbing Xia, Bo Zhao*. Policy iteration algorithm based fault tolerant tracking control: an implementation on reconfigurable manipulators. Journal of Electrical Engineering & Technology, 2018, 13(4): 1740-1751.

[51]Yuanchun Li, Guibin Ding, Bo Zhao*. Decentralized adaptive neural network sliding mode position/force control of constrained reconfigurable manipulators. Journal of Central South University, 2016, 23(11): 2917-2925.

[52]Yating Hu, Qingwen Du, Jun Luo, Changlin Yu, Bo Zhao, Yingyi Sun*. A nonconvex activated fuzzy RNN with noise-immune for time-varying quadratic programming problems: Application to plant leaf disease identification. Tsinghua Science and Technology.

[53]Tuo Qu, Fuqing Duan, Junge Zhang, Bo Zhao, Wenzhen Huang. Data-efficient model-based reinforcement learning with trajectory discrimination. Complex & Intelligent Systems, https://doi.org/10.1007/s40747-023-01247-5, 2023.

[54]Yinghui Zhang, Tingshuai Liu, Bo Zhao, Fengxiang Ge. SFA-GAN: Structure-frequency-aware generative adversarial network for underwater image enhancement. Signal, Image and Video Processing, 2023, 17(7): 3647-3655.

[55]Hongbing Xia, Bo Zhao, Ping Guo. Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems. Neural Networks, 2022, 155: 204-214.

[56]Derong Liu, Shan Xue, Bo Zhao, Biao Luo, Qinglai Wei. Adaptive dynamic programming for control: A survey and recent advances. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(1): 142-160. (ESI高被引)

[57]Xiong Yang, Bo Zhao. Optimal neuro-control strategy for nonlinear systems with asymmetric input constraints. IEEE/CAA Journal of Automatica Sinica, 2020, 7(2): 575-583.

[58]Guang Shi, Bo Zhao, Chao Li, Qinglai Wei, Derong Liu. An echo state network based approach to room classification of office buildings. Neurocomputing, 2019, 333: 319-328.

[59]Ding Wang, Haibo He, Bo Zhao, Derong Liu. Adaptive near-optimal controllers for nonlinear decentralized feedback stabilisation problems. IET Control Theory & Applications. 2017, 11(6): 799-806.

[60]Qiao Lin, Qinglai Wei, Bo Zhao. Optimal control for discrete-time systems with actuator saturation. Optimal Control Applications and Methods, 2017, 38: 1071-1080.

[61]赵博, 李元春. 基于信号重构的可重构机械臂主动分散容错控制. 自动化学报, 2014, 40(9): 1942-1950. (EI)

[62]赵博, 李元春. 考虑多传感器故障的可重构机械臂主动取代分散容错控制. 控制与决策, 2014, 29(2): 226-230. (EI)

[63]赵博, 李元春, 刘克平. 有效因子融合的可重构机械臂分散容错控制方法. 清华大学学报(自然科学版), 2012, 52(9): 1218-1222+1229. (EI)

[64]赵博, 李成浩, 李元春. 基于故障在线估计的可重构机械臂分散容错控制. 吉林大学学报(工学版), 2014, 44(6): 1729-1735. (EI)

[65]李元春, 周帆, 马天豪, 赵博*. 基于多步时延的可重构机械臂并发故障分散容错控制. 吉林大学学报(工学版), 2015, 45(6): 1874-1880. (EI)

[66]李元春，王蒙，盛立辉，赵博*. 液压机械臂基于反演的自适应二阶滑模控制. 吉林大学学报(工学版), 2015, 45(1): 193-201. (EI)

[67]李元春, 宋扬, 赵博*. 环境约束可重构机械臂模块化力/位置控制. 上海交通大学学报, 2017, 51(6): 709-716. (EI).

[68]赵博、杜文千、袁郭玲、孔杰. 基于ADP的状态约束互联非线性系统的分散镇定. 北京师范大学学报(自然科学版), 2023, 59(5): 749-757.

[1]赵博，袁郭玲，林铭铎，夏宏兵. 基于控制策略更新时间预测的优化控制系统与方法(202211091378.8)，2022.9.7 (实审)

[2]赵博，林铭铎，夏宏兵，侯佳序，袁郭玲，杜文千，谭聪. 基于Stackelberg-Nash微分博弈的多层级优化控制系统与方法(ZL202210234498.2)，2024.8.6 (已授权)

[3]赵博, 夏宏兵, 谭聪, 侯佳序. 基于终端任务指派的可重构机械臂协同力运动控制系统与方法, (ZL202110553169.X), 2022.9.16 (已授权)

[4]赵博, 李元春, 刘克平. 可重构机械臂传感器故障实时诊断和容错系统及其方法(ZL201310342203.4), 2015.12.2 (已授权)

[5]林锦全,刘德荣,王永华,赵博. 一种电液伺服系统的平行控制方法及系统(ZL202210750608.0)，2024.9.20(已授权)

[6]李元春, 赵博, 唐志国, 王蒙. 基于双参数奇异摄动的液压刚柔机械臂控制方法(ZL201310341384.9), 2015.5.13 (已授权)

[7]王鼎, 张启超, 赵博. 微电网频率自适应学习控制方法(ZL201810179648.8) , 2020.4.7 (已授权)

教学情况

[1]本科生：《人工智能》， 《人工智能导论》，《控制论》，《博弈论》，《系统工程》，《多主体与演化》

[2]研究生，《复杂系统中的人工智能》，《神经网络与深度学习》，《系统科学进展》

研究生培养

博士研究生

[1]林铭铎，面向微分博弈的动态系统策略优化方法研究，北京师范大学，2024.

[2]吴球业，基于神经网络高效训练的多控制器系统优化控制方法研究，广东工业大学，2023 (协助培养)

[3]夏宏兵，非线性系统的自学习优化安全调控方法研究，北京师范大学，2023 (协助培养)

[4]张顺超，面向资源高效利用的非线性系统优化控制方法研究，广东工业大学，2022 (协助培养)

[5]张勇威，基于自适应评判设计的非线性系统事件触发控制方法研究，广东工业大学，2021 (协助培养)

[6]在读博士生：孔杰、饶煊、袁郭玲 (北京师范大学)，曾楚健(广东工业大学，协助培养)，李嘉文(南方科技大学，协助培养)

硕士研究生

[1]杜文千，一类状态约束互联非线性系统的分散镇定，北京师范大学，2024

[2]叶佳锐，基于深度学习的时间序列概率预测研究及其在电力系统中的应用，广东工业大学，2024 (协助培养)

[3]林锦全，基于动态事件触发的非仿射未知系统近优控制方法研究，广东工业大学，2024 (协助培养)

[4]谭聪，基于零和微分博弈的非线性系统容错跟踪控制，北京师范大学，2023

[5]饶煊，基于连续空间优化的神经架构搜索：可微架构搜索及隐空间优化，广东工业大学，2023 (协助培养)

[6]李佳鑫，基于梯度优化的神经网络剪枝方法研究，广东工业大学，2023 (协助培养)

[7]林铭铎，基于强化学习的非线性离散系统数据驱动控制方法研究，广东工业大学，2021 (协助培养)

[8]刘浠，基于粒子群神经网络的非线性系统容错控制方法，广东工业大学，2021 (协助培养)

[9]罗芳超，基于自适应动态规划的非线性系统事件触发容错控制，广东工业大学，2021 (协助培养)

[10]吴球业，面向非线性关联系统的分散自适应评判控制方法研究，广东工业大学，2020 (协助培养)

[11]林浩伟，基于粒子群优化评判网络的未知非线性系统容错控制，广东工业大学，2020 (协助培养)

[12]夏宏兵，基于自适应动态规划的可重构机械臂容错控制方法研究，长春工业大学，2017 (协助培养)

[13]丁贵彬，受环境约束可重构机器人模块化协同力/位置控制研究，吉林大学，2016 (协助培养)

[14]张甲子，基于故障观测器的可重构机械臂主动容错控制方法研究，吉林大学，2016 (协助培养)

[15]赵翀，车载柔性机械臂轨迹跟踪和补偿控制方法研究，吉林大学，2015 (协助培养)

[16]宋扬，环境约束下可重构机械臂模块化力/位置控制方法研究，吉林大学，2015 (协助培养)

[17]刘英策，基于末端力传感器的受约束可重构机械臂力控制研究，长春工业大学，2015 (协助培养)

[18]周帆，多故障并发的可重构模块机械臂分散容错控制方法研究，长春工业大学，2015 (协助培养)

[19]刘杰，车载柔性机械臂轨迹规划及准静态变形补偿控制，吉林大学，2014 (协助培养)

[20]李阳，刚柔机械臂自适应反演滑模控制与振动抑制方法研究，吉林大学，2014 (协助培养)

[21]王蒙，基于奇异摄动的车载液压柔性机械臂系统控制方法研究，吉林大学，2014 (协助培养)

[22]李成浩，基于分散滑模观测器的可重构机器人故障诊断与容错控制，吉林大学，2013 (协助培养)

[23]在读硕士生：朱光尧、李寒松、史东诺、张涵、孙宇阳、曹越轲 (北京师范大学)，肖嘉敏、郭宇豪、谢志华、黄高桐 (广东工业大学，协助培养)，李铮、符坚、陈建宏 (南方科技大学，协助培养)

招生

欢迎有自动化、控制科学、计算机、数学、统计、人工智能等专业背景，且对相关领域感兴趣、有志科研的准硕士生、准博士生咨询报考。同时，欢迎博士后研究员前来咨询加入团队。