赵博（教授）查看源代码讨论查看历史
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赵博，男，北京师范大学系统科学学院副教授。
人物简历
教育经历
2005.09-2009.07 工学学士，吉林大学，自动化
2009.08-2014.06 工学博士，吉林大学，控制理论与控制工程
工作经历
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
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
2018.12-今 副教授，北京师范大学，系统科学学院
研究兴趣
复杂系统建模与调控，自适应动态规划与强化学习，神经网络，智能机械与机器人控制，故障诊断与容错控制等。
项目研究
[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，在研，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，在研，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，在研，合作单位负责人。
[4] 北京师范大学青年教师基金项目，2019NTST25，基于自适应评判设计的非线性系统平行容错控制方法，2019/10-2021/09，在研，主持。
[5] 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。
[6] 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，在研，参加。
[7] 国家自然科学基金优秀青年项目，61722312，自学习最优控制理论与应用，2018/01-2020/12，在研，参加。
[8] 科技部“科技创新2030-新一代人工智能”重大项目，2018AAA0100203，新一代认知神经网络模型-神经网络自动组织与演化原理，2020/01-2023/12，在研，参加。
[9] 国家重点研发计划项目，2018YFB1702304，管控平台功能自适应演化与定制化技术-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，在研，参加。
[10] 国家自然科学基金面上项目，61773373，面向知识学习与资源高效利用的复杂非线性系统自适应评判控制，2018/01-2021/12，在研，参加。
[11] 国家自然科学基金青年基金项目，51705515，基于混合双目视觉的移动机器人环境主动感知，2018/01-2020/12，在研，参加。
[12] 北京市自然科学基金面上项目，4162065，不确定环境下复杂非线性系统基于数据的鲁棒自学习优化控制，2016/01-2018/12，已结题，参加。
[13] 国家自然科学基金面上项目，61374051，面向任务约束启发的可重构机械臂模块化协同控制方法研究，2014/01-2017/12，已结题，参加。
[14] 973计划项目子课题，2012CB720000，不规则弱引力场中探测器运动行为分析与着陆控制，2012/09-2014/08，已结题，参加。
[15] 吉林省科技发展计划项目，20110705，车载柔性机械臂轨迹跟踪控制方法及应用研究，2011/09-2014/08，已结题，参加。
[16] 吉林大学青年教师创新项目：基于分布参数机械臂操作柔性负载系统建模与控制研究，2011/07-2012/06，已结题，参加。
[17] 国家自然科学基金面上项目，60974010，基于模块局部信息的可重构机械臂动力学控制与容错控制研究，2010/01-2012/12，已结题，参加。
学术成果
论文
Journal articles
[1] 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. (SCI, IF=9.309, Q1区)
[2] 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. (SCI, IF=7.515, Q1区)
[3] 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, DOI: 10.1109/TCYB.2019.2962011, 2020. (SCI, IF=11.079, Q1区)
[4] 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, DOI: 10.1109/TNNLS.2019.2954983, 2020. (SCI, IF=8.793, Q1区)
[5] 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. (SCI, IF=5.91, Q1区)
[6] 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. (SCI, IF=4.867, Q1区)
[7] Bo Zhao, Yuanchun Li*. Local joint information based active fault tolerant control for reconfigurable manipulator. Nonlinear Dynamics, 2014, 77(3): 859-876. (SCI, IF=4.867, Q1区)
[8] 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. (SCI, IF=4.438, Q1区)
[9] 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. (SCI, IF=4.438, Q1区)
[10] 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. (SCI, IF=3.343, Q1/Q2区)
[11] 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. (SCI, IF=2.733, Q2区)
[12] 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. (SCI, IF=2.149, Q2/Q3区)
[13] 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. (SCI, IF=0.736, Q4区)
[14] Haowei Lin,Bo Zhao*, Derong Liu. Data-based fault tolerant control for nonlinear systems through particle swarm optimized critic learning. IEEE/CAA Journal of Automatica Sinica, 2020, 7(4): 954-964. (SCI, IF=5.129, Q1区)
[15] Yongwei Zhang,Bo Zhao*, Derong Liu. Deterministic policy gradient adaptive dynamic programming for model-free optimal control. Neurocomputing, 2020, 387: 40-50. (SCI, IF=4.438, Q1区)
[16] 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. (SCI, IF=1.249, Q3区)
[17] 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. (SCI, IF=0.736, Q4区)
[18] 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)
[19] 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)
[20] 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)
[21] 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)
[22] 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)
[23] 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)
[24] 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).
[25] 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. (SCI, IF=5.129, Q1区)
[26] 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. (SCI, IF=3.343, Q1/Q2区)
[27] Qiao Lin, Qinglai Wei*,Bo Zhao. Optimal control for discrete-time systems with actuator saturation. Optimal Control Applications and Methods, 2017, 38: 1071-1080. (SCI, IF=1.252, Q2/Q3区)
Conference articles
[1] Bo Zhao, Zhiqian Wang, Yanfeng Qiao, Keping Liu, Yuanchun Li*. A combined backstepping terminal sliding mode algorithm based decentralized control scheme for reconfigurable manipulators. Advances in Reconfigurable Mechanisms and Robot I. Tianjin, China. 2012.7:657-668. (EI)
[2] Zhao Bo, Dong Bo, Li Yuanchun*. Support vector machine observer based fault detection for reconfigurable manipulators. Proceedings of the 30th Chinese Control Conference, Yantai, China. 2011.7:3979-3984. (EI)
[3] Bo Zhao, Yuanchun Li*. Decentralized differential tracker based control of reconfigurable manipulators without velocity sensor. Proceedings of the 33rd Chinese Control Conference, Nanjing, China. 2014.7: 8370-8374. (EI)
[4] Bo Zhao, Zhiyuan Du, Yuanchun Li*. Decentralized integral sliding mode control of reconfigurable manipulator: An enhancement methodology for practical application. Proceedings of the 34th Chinese Control Conference, Hangzhou, China. 2015.7: 3313-3318. (EI)
[5] Bo Zhao, Derong Liu*, Yuanchun Li, Guang Shi. Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures. Proceedings of 2016 International Joint Conference on Neural Networks, July 2016, Vancouver, Canada. 2016.7: 3530-3535. (EI)
[6] Bo Zhao, Derong Liu*, Yuanchun Li, Guang Shi. Observer based policy iteration algorithm for fault tolerant control of nonlinear systems with actuator faults. Proceedings of 2016 the 12th World Congress on Intelligent Control and Automation, June 2016, Guilin, China. 2016.6: 2267-2272. (EI)
[7] Bo Zhao*, Ding Wang, Guang Shi, Derong Liu, Yuanchun Li. Decentralized stabilization for nonlinear systems with unknown mismatched interconnections. Proceedings of the 2016 International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan, 2016.10: 185-192. (EI)
[8] Bo Zhao*, Derong Liu, Yuanchun Li, Qinglai Wei, Ruizhuo Song. Adaptive dynamic programming based decentralized tracking control for unknown large-scale systems. Proceedings of the 36th Chinese Control Conference, Dalian, China, 2017.7: 3575-3580. (EI)
[9] Bo Zhao*, Derong Liu, Yuanchun Li. Neuro-control of nonlinear systems with unknown input constraints. Proceedings of 2017 the 24th International Conference on Neural Information Processing, Guangzhou, China, 2017.11: 778-788. (EI)
[10] Bo Zhao*, Derong Liu, Yuanchun Li. Data-based robust near-optimal decentralized stabilization of unknown large-scale systems. Proceedings of 2017 IEEE Symposium Series on Computational Intelligence, Hawaii, USA, 2017.11: 436-441. (EI)
[11] Bo Zhao*, Guang Shi, Chao Li. Self-learning optimal control for uncertain nonlinear systems via online updated cost function. Proceedings of the 33rd Youth Academic Annual Conference of Chinese Association of Automation, Nanjing, China, 2018.5: 1061-1065. (EI)
[12] Bo Zhao*, Derong Liu, Mingming Ha, Ding Wang, Yancai Xu, Qinglai Wei. Local tracking control for unknown interconnected systems via neuro-dynamic programming. Proceedings of the 25th International Conference on Neural Information Processing, Siem Reap, Cambodia, 2018.12: 258-268. (EI)
[13] Bo Zhao*, Jiaxu Hou, Ping Guo, Derong Liu, Yancai Xu. Approximate optimal control of nonlinear systems with mismatched perturbations based on asymptotically stable critic neural network. Proceedings of the 2020 International Conference on Artificial Intelligence in Electronics Engineering, Sanya, China, 2020.1: 60-64. (EI)
[14] Bo Zhao, Bo Dong, Yan Li, Fumitoshi Matsuno, Yuanchun Li*. Self-tuned local feedback gain based decentralized fault tolerant control of reconfigurable manipulators. Proceedings of the 2016 International Conference on Artificial Life and Robotics (ICAROB 2016), Jan. 29-31, 2016, Okinawa Convention Center, Okinawa, Japan. 2016: 302-306.
[15] Ping Guo,Bo Zhao*. An unified view on the feedforward neural network architecture. Proceedings of 10th International Conference on Swarm Intelligence, Chiang Mai, Thailand, 2019.7: 173-180. (EI)
[16] Yongwei Zhang, Mingduo Lin, Derong Liu, Yuwen Qin,Bo Zhao*. Data-based optimal control for discrete-time systems via deep deterministic policy gradient adaptive dynamic programming. Proceedings of the 9th International Conference on Information Science and Technology, Hulunbuir, China, 2019.8: 1-5. (EI)
[17] Mingduo Lin, Derong Liu,Bo Zhao*, Qionghai Dai, Yi Dong. A combined policy gradient and Q-learning method for data-driven optimal control problems. Proceedings of the 9th International Conference on Information Science and Technology, Hulunbuir, China, 2019.8: 6-10. (EI)
[18] Haowei Lin, Qiuye Wu, Derong Liu,Bo Zhao*, Qinmin Yang. Fault tolerant control for nonlinear systems based on adaptive dynamic programming with particle swarm optimization. Proceedings of 2019 the 10th International Conference on Intelligent Control and Information Processing, Marrakesh, Morocco, 2019.12: 322-326. (EI)
[19] Qiuye Wu, Haowei Lin,Bo Zhao*, Derong Liu. Local near-optimal control for delayed interconnected systems. Proceedings of 2019 the 26th International Conference on Neural Information Processing, Sydney, Australia, 2019.12: 458-468. (EI)
[20] Tianmin Zhou, Jiaxu Hou, Handong Li, Zengru Di,Bo Zhao*. Neuro-control for continuous-time stochastic nonlinear systems via online policy iteration algorithm. Proceedings of 2020 the 32nd Chinese Control and Decision Conference, Hefei, China, 2020.5. (EI, Accepted)
[21] Fangchao Luo,Bo Zhao*, Derong Liu. Observer based event-triggered fault compensation control for nonlinear systems via adaptive dynamic programming. Proceedings of the 10th International Conference on Information Science and Technology, Bath, London, Plymouth, UK, 2020.7. (EI, Accepted)
[22] 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, Zhanjiang, China, 2020.5. (EI, Accepted)
[23] 赵博,郭平. 构建协同学习系统的方法论.第三届中国系统科学会议(摘要论文),中国长沙, 2019.5.
[24] Ping Guo, Jiaxu Hou,Bo Zhao*. Methodology of building synergetic learning systems. Proceedings of the 10th International Conference on Complex Systems, Nashua, NH, USA, 2020.7. (Accepted)
发明专利
[1] 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 (已授权)
[2] 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 (已授权)
[3] 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)
[4] 魏庆来,刘德荣,林桥,李本凯,赵博.自适应最优控制方法及自适应最优控制系统(201610868410.7), 2016.9 (已公布)
[5] 魏庆来,刘德荣,林桥,李本凯,赵博.自适应最优控制方法(201610815563.5) , 2016.9 (已公布)
社会任职
IEEE Member, 2016-.
APNNS Member, 2016-.
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, 2016-.
中国自动化学会青年工作委员会委员, 2017-.
第24届ICONIP国际会议秘书, 2017.
Leading 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.
Conference invited session chair: Bo Zhao*, Fang Xu, Zhijie Liu, Yancai Xu. Analysis, optimization & control of structural flexible systems in CPHS. The 3rd IFAC Workshop on Cyber-Physical and Human Systems. Shanghai, China, 2020.12.3-5.
Conference invited session chair: Ruizhuo Song, Qinglai Wei, Jinhai Liu, Xiong Yang, Bo Zhao. Adaptive dynamic programming and reinforcement learning for optimal control. DDCLS2020. Liuzhou, China, 2020.5.
Conference Special Session Chair: The 17th International Symposium on Neural Networks. Cairo, Egypt, 2020.10.
Session Chair: ICONIP2017, ICONIP2018, ICIST2019.
PC Members: WCICA2016, ICONIP2017, SSCI2017.
教学情况
《神经网络与深度学习》，32学时，授课对象：研究生[1]