博士毕业于东北大学控制理论与控制工程专业

2017/01-2019/12, 国家自然科学基金（青年基金）, 61603314, 主持 2015/05-2017/05, 中央高校基本科研业务费专项资金资助（科技创新项目），2682015CX066，“线性异构多智能体系统一致控制协议设计”，主持 2020/01-2023/12, 国家自然科学基金（面上项目），51975491，“前-反馈协同作用下冷丝辅助GTA增材制造多光路感知与高精度生长调控机制”，参与 2019/01-2023/12, 四川省国际科技创新合作重点项目，2019YFH0097，“基于人工智能的城轨列车调度控制系统综合运维关键技术研究”，参与 2019/01-2022/12, 国家自然科学基金（面上项目），61873215，“检测、诊断和定位轨道电路微小及早期故障的动态分布式方法”，参与 2018/01-2021/12, 国家自然科学基金（面上项目），61773322，“符号网络下多智能体系统的群体行为与分布式控制”，参与 2013/01-2015/12, 国家自然科学基金（青年基金）, 61203046，“多维时滞非线性协议下的多智能体系统一致性及协调控制”, 参与 2016/01-2017/12, 四川科技支撑计划项目，2016GZ0101，“光伏发电最大功率跟踪优化及能源管理系统的研究与实现”，参与

[16] J. Zhang, Xiang Chen and Guoxiang Gu, State consensus for discrete-time multi-agent systems over time-varying graphs, IEEE Transactions on Automatic Control, 2020, Accepted. [15] J. Zhang, Tao Feng, Xiaomin Wang, Shaojie Qiao and Fei Yan, Output consensus for heterogeneous multi-agent systems with disturbances, Journal of the Franklin Institute, 2020, Accepted. [14] J. Zhang,Tao Feng, Fei Yan, Shaojie Qiao and Xiaomin Wang, Analysis and design on intervehicle distance control of autonomous vehicle platoons, ISA Transactions, 2020, Accepted. [13] Tao Feng, J. Zhang, Huaguang Zhang, Consensusability of discrete-time linear multi-agent systems with multiple inputs, Neurocomputing, 383:183-193, 2020. [12] J. Zhang, Zhanshan Wang and Hongwei Zhang, Data-based optimal control of multiagent systems: A reinforcement learning design approach, IEEE Transactions on Cybernetics, 49(12):4441-4449, 2019 [11] J. Zhang, Huaguang Zhang and Tao Feng, Distributed Optimal Consensus Control for Nonlinear Multiagent System With Unknown Dynamic, IEEE Transactions on Neural Networks and Learning Systems, 29(8):3339-3348, 2018 (ESI 高被引论文) [10] Fei Yan, J. Zhang and Guoxiang Gu, Output regulation in the presence of quadratically bounded parameter uncertainties, IET Control Theory & Applications, 12(5):700-706, 2018 [9] J. Zhang, Hongjing Liang and Tao Feng, Optimal control for nonlinear continuous systems by adaptive dynamic programming based on fuzzy basis functions, Applied Mathematical Modelling, 40(13–14): 6766-6774, 2016 [8] J. Zhang, Huaguang Zhang, Binrui Wang and Tiaoyang Cai, Nearly data-based optimal control for linear discrete model-free systems with delays via reinforcement learning,International Journal of Systems Science, 47(7): 1563-1573, 2016 [7] Huaguang Zhang, J. Zhang, Guanghong Yang and Yanhong Luo, Leader-based optimal coordination control for the consensus problem of multi-agent differential games via fuzzy adaptive dynamic programming, IEEE Transactions on Fuzzy Systems, 23(1): 152-163, 2015. (ESI 高被引论文) [6] J. Zhang, Huaguang Zhang, Zhenwei Liu and Yingchun Wang，Model-free optimal controller design for continuous-time nonlinear systems by adaptive dynamic programming based on a precompensator, ISA Transactions, 57: 63-70, 2015 [5]. Tao Feng, Huaguang Zhang, Yanhong Luo and J. Zhang, Stability analysis of heuristic dynamic programming algorithm for nonlinear systems, Neurocomputing, 149, Part C: 1461-1468, 2015. [4] J. Zhang, Huaguang Zhang, Yanhong Luo and Tao Feng, Model-free optimal control design for a class of linear discrete-time systems with multiple delays using adaptive dynamic programming, Neurocomputing, 135: 163-170, 2014. [3]. Hongjing Liang, Huaguang Zhang, Zhanshan Wang and J. Zhang, Output regulation for heterogeneous linear multi-agent systems based on distributed internal model compensator, Applied Mathematics and Computation, 242: 736-747, 2014. [2] J. Zhang, Huaguang Zhang, Yanhong Luo and Hongjing Liang, Nearly optimal control scheme using adaptive dynamic programming based on generalized fuzzy hyperbolic model,ACTA Automatica Sinica（自动化学报 英文版）, 39(2): 142-148, 2013. [1] J. Zhang, Huaguang Zhang, Feisheng Yang and Shenquan Wang, Robust fault detection filter design for a class of time-delay system via equivalent transformation, Journal of Control Theory Application（控制理论与应用 英文版）, 11(1): 54-60, 2013. 会议论文 [7] J. Zhang, Tao Feng, Fei Yan and Yiduo Zhou, An Improved Distributed Control on Output Regulation for Heterogeneous Multi-Agent Systems, Proceedings of the 37th Chinese Control Conference (CCC), Page(s): 6579-6583, July 25-27, Wuhan, 2018. [6] Tao Feng, J. Zhang, Fei Yan and Yiduo Zhou, Consensus Region Analysis of Discrete-Time Linear Multi-agent Systems via Riccati Design, Proceedings of the 37th Chinese Control Conference (CCC), Page(s): 6584-6589, July 25-27, Wuhan, 2018. [5] J. Zhang，Xiang Chen and Guoxiang Gu, Leader-following state consensus for homogeneous multi-agent systems over time-varying feedback graphs, 2016 35th Chinese Control Conference (CCC), Page(s): 7666–7671, 27-29 July, 2016. [4] J. Zhang，Xiang Chen and Guoxiang Gu, State consensus for homogeneous multi-agent systems over time-varying undirected graph, 2016 12th IEEE International Conference on Control and Automation (ICCA), Page(s): 31–36, 1-3 June, 2016. [3] J. Zhang，A. Pandey and Guoxiang Gu, Output consensus for heterogeneous multi-agent systems over feedback graphs involving time delays, 2015 IEEE International Conference on Information and Automation（ICIA）, Page(s): 1014 -1019, 8-10, Lijiang, China, Aug. 2015. [2] J. Zhang, Huaguang Zhang, Junyi Wang and Mo Zhao, A novel and simple design scheme to fault detector for linear systems using compensator, Proceedings of the 31st Chinese Control Conference (CCC), Page(s):5245-5249, Hefei, China, 2012.7.25-7.27. [1] J. Zhang, Huaguang Zhang, Yanhong Luo and Hongjing Liang,Optimal control design for nonlinear systems: Adaptive dynamic programming based on fuzzy critic estimator, The 2012 International Joint Conference on Neural Networks (IJCNN), Page(s): 1-6, Brisbane, 2012.6.10-6.15.