基本情况

王鼎，曾任中国科学院自动化研究所助理研究员、副研究员，现任北京工业大学信息学部教授、博士生导师。在权威国际期刊和重要国际会议上发表学术论文100余篇，其中以第一作者在IEEE汇刊和Automatica上发表论文30余篇，并出版专著5本；有ESI高被引或热点论文10余篇。先后入选科睿唯安(Clarivate)全球高被引科学家、中国科学院青年创新促进会、中国科协青年人才托举工程等。先后荣获广东省自然科学奖一等奖、吴文俊人工智能优秀青年奖、中国自动化学会自然科学奖一等奖、中国科学院优秀博士学位论文奖等。先后担任IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Systems, Man, and Cybernetics: Systems、Neural Networks、Engineering Applications of Artificial Intelligence、International Journal of Robust and Nonlinear Control、International Journal of Adaptive Control and Signal Processing、Neurocomputing、自动化学报等权威期刊编委，中国自动化学会控制理论专业委员会、中国自动化学会过程控制专业委员会、中国自动化学会自适应动态规划与强化学习专业委员会、中国自动化学会环境感知与保护自动化专业委员会委员，IEEE Senior Member，并在一些国际会议上担任重要职务。

研究方向

智能控制与智能优化

神经网络与强化学习

先进控制理论与应用

科研项目

智能评判控制及其应用，国家自然科学基金优秀青年项目

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，国家自然科学基金面上项目

面向污染防治的复杂动态系统智能表征与调控，科技创新2030——“新一代人工智能”重大项目

基于迭代启发式学习的城市污水处理智能评判控制，北京市自然科学基金杰出青年项目

获奖情况

科睿唯安(Clarivate)全球高被引科学家

广东省自然科学奖一等奖

吴文俊人工智能优秀青年奖

中国自动化学会自然科学奖一等奖

中国科学院优秀博士学位论文奖

代表性研究成果

[1]王鼎,不确定动态系统智能评判学习与控制,北京:科学出版社, 2020.

[2]Ding Wang, Mingming Ha, and Mingming Zhao,Advanced Optimal Control and Applications Involving Critic Intelligence, Singapore: Springer Singapore, 2023.

[3]Ding Wang, Lingzhi Hu, Mingming Zhao, and Junfei Qiao, Dual event-triggered constrained control through adaptive critic for discrete-time zero-sum games,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(3), pp. 1584–1595, 2023.

[4]Ding Wang, Junfei Qiao, and Long Cheng, An approximate neuro-optimal solution of discounted guaranteed cost control design,IEEE Transactions on Cybernetics, 52(1), pp. 77–86, 2022.

[5]Ding Wang, Junlong Wu, Jin Ren, and Junfei Qiao, Online value iteration for intelligent discounted tracking design of constrained systems,IEEE Transactions on Circuits and Systems II: Express Briefs, 69(9), pp. 3829–3833, 2022.

[6]Ding Wang, Mingming Ha, and Junfei Qiao, Data-driven iterative adaptive critic control toward an urban wastewater treatment plant,IEEE Transactions on Industrial Electronics, 68(8), pp. 7362–7369, 2021.

[7]Ding Wang, Mingming Ha, and Junfei Qiao, Self-learning optimal regulation for discrete-time nonlinear systems under event-driven formulation,IEEE Transactions on Automatic Control, 65(3), pp. 1272–1279, 2020.

[8]Ding Wang, Robust policy learning control of nonlinear plants with case studies for a power system application,IEEE Transactions on Industrial Informatics, 16(3), pp. 1733–1741, 2020.

[9]Ding Wangand Xiangnan Zhong, Advanced policy learning near-optimal regulation,IEEE/CAA Journal of Automatica Sinica, 6(3), pp. 743–749, 2019.

[10]Ding Wangand Derong Liu, Learning and guaranteed cost control with event-based adaptive critic implementation,IEEE Transactions on Neural Networks and Learning Systems, 29(12), pp. 6004–6014, 2018.

[11]Ding Wang, Haibo He, and Derong Liu, Adaptive critic nonlinear robust control: A survey,IEEE Transactions on Cybernetics, 47(10), pp. 3429–3451, 2017.

[12]Ding Wang, Haibo He, and Derong Liu, Improving the critic learning for event-based nonlinearH-infinitycontrol design,IEEE Transactions on Cybernetics, 47(10), pp. 3417–3428, 2017.

[13]Ding Wang, Derong Liu, Qichao Zhang, and Dongbin Zhao, Data-based adaptive critic designs for nonlinear robust optimal control with uncertain dynamics,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(11), pp. 1544–1555, 2016.

[14]Ding Wang, Derong Liu, and Hongliang Li, Policy iteration algorithm for online design of robust control for a class of continuous-time nonlinear systems,IEEE Transactions on Automation Science and Engineering, 11(2), pp. 627–632, 2014.

[15]Ding Wang, Derong Liu, Qinglai Wei, Dongbin Zhao, and Ning Jin, Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming,Automatica, 48(8), pp. 1825–1832, 2012.

[16]王鼎,赵明明,哈明鸣,乔俊飞,基于折扣广义值迭代的智能最优跟踪及应用验证,自动化学报, 48(1), pp. 182–193, 2022.

[17]王鼎,基于学习的鲁棒自适应评判控制研究进展,自动化学报, 45(6), pp. 1031–1043, 2019.

[18]王鼎,哈明鸣,乔俊飞,一种利用迭代二次启发式规划的污水处理浓度控制方法,授权公告日2022.11.25,专利号ZL202010422508.6.

[19]王鼎,赵明明,乔俊飞,一种用于污水处理系统的混合驱动智能评判控制方法,授权公告日2022.06.07,专利号ZL202010263147.5.

[20]王鼎,马宏宇,高宁,北京工业大学污水处理智能评判跟踪控制平台V1.0,开发完成时间2022.12.15,登记号2023SR0215529.