張吉烈

張吉烈

張吉烈，男，博士，副教授，現就職於西南交通大學信息科學與技術學院。

基本介紹

  • 中文名：張吉烈
  • 畢業院校：東北大學 
  • 學位/學歷：博士
  • 職業：教師
  • 專業方向：近似動態規劃，自適應動態規劃
  • 就職院校：西南交通大學
  • 教學職稱：副教授 
個人簡介,社會職務,個人經歷,主講課程,研究方向,榮譽獎項,學術成果,論文成果,期刊論文,會議論文,

個人簡介

張吉烈，工學博士，副教授，入選西南交通大學“雛鷹計畫”，四川省學術帶頭人後備人選。博士畢業於東北大學控制理論與控制工程專業，就職於西南交通大學信息科學與技術學院。主要從事多智慧型體一致協同控制和自適應動態規劃等領域相關研究工作。感興趣的領域：ECP重載列車分散式協同制動控制。

社會職務

中國自動化學會會員，中國自動化學會能源網際網路專委員會、自適應動態規劃與強化學習專委會委員，雜誌審稿人（TAC, TNNLS, TFS, TC 和 TSMCS）。

個人經歷

博士畢業於東北大學控制理論與控制工程專業
2018.12-今 西南交通大學 信息科學與技術學院 副教授
2017.12-2018.12 路易斯安娜州立大學 電氣工程系 訪問學者
2014.07-2018.12 西南交通大學 信息科學與技術學院 講師

主講課程

(1) 自動控制原理
(2) 現代控制理論

研究方向

(1) 近似動態規劃，自適應動態規劃；
(2) 多智慧型體一致控制；
(3) 車輛排隊問題；

榮譽獎項

1、2019年獲得四川省計算機科學技術獎 一等獎 排名第三；
2、2015年獲得《自動化學報》優秀論文獎 排名第一；

學術成果

  1. 2017/01-2019/12, 國家自然科學基金（青年基金）, 61603314, 主持
  2. 2015/05-2017/05, 中央高校基本科研業務費專項資金資助（科技創新項目），2682015CX066，“線性異構多智慧型體系統一致控制協定設計”，主持
  3. 2019/01-2022/12, 國家自然科學基金面上項目，61873215，“檢測、診斷和定位軌道電路微小及早期故障的動態分散式方法”，參與
  4. 2018/01-2021/12, 國家自然科學基金面上項目，61773322，“符號網路下多智慧型體系統的群體行為與分散式控制”，參與
  5. 2013/01-2015/12, 青年科學基金項目, 61203046，“多維時滯非線性協定下的多智慧型體系統一致性及協調控制”, 參與
  6. 2016/01-2017/12，四川科技支撐計畫項目，2016GZ0101，“光伏發電最大功率跟蹤最佳化及能源管理系統的研究與實現”，參與
  7. 2024/01-2027/12, 國家自然科學基金（面上項目）, 62373312, 自主重載列車分散式協同空氣制動的自適應最佳化控制方法研究, 在研, 主持
  8. 2020/11-2023/10, 科技部重大專項, 2020YFB1711902, “支持業務流程融合和價值增值的服務型製造平台研發”, 課題骨幹
  9. 2020/01-2023/12, 國家自然科學基金（面上項目）, 61975491, “前-反饋協同作用下冷絲輔助GTA增材製造多光路感知與高精度生長調控機制”, 參與
  10. 2019/01-2023/12, 四川省國際科技創新合作重點項目, 2019YFH0097, “基於人工智慧的城軌列車調度控制系統綜合運維關鍵技術研究”, 參與

論文成果

期刊論文

  1. J. Zhang and Tao Feng, From undirected graphs to directed graphs: a new technique makes it possible for multi-agent systems, Journal of Control and Decision（控制與決策 英文版）, 9(3): 286-288, 2021.
  2. J. Zhang, Tao Feng and Huaguang Zhang, The decoupling cooperation control with dominant poles assignment, IEEE Transactions on Systems, Man and Cybernetices: Systems, 52(2): 1205-1213, 2022 (ESI 高被引論文)
  3. Tao Feng, J. Zhang*, Yin Tong and Huaguang Zhang, Consensusability and Global Optimality of Discrete-Time Linear Multi-Agent Systems, IEEE Transactions on Cybernetics , 52(8): 8227-8238, 2022.
  4. Tao Feng, J. Zhang*, Yin Tong and Huaguang Zhang, Q-learning algorithm in solving consensusability problem of discrete-time multi-agent systems, Automatica, 128, 109576, 2021.
  5. J. Zhang, Zhiyong Chen, Hongwei Zhang and Tao Feng, Coupling effect and pole assignment in trajectory regulation of multi-agent systems, Automatica , 125 109465, 2021.
  6. Jinsong Li, Tao Feng, J. Zhang and Fei Yan, Optimal distributed cooperative control for multi-agent systems with constrains on convergence speed and control input, Neurocomputing, 426: 14-25, 2021.
  7. J. Zhang, Xiang Chen and Guoxiang Gu, State consensus for discrete-time multi-agent systems over time-varying graphs, IEEE Transactions on Automatic Control, 52(2): 1205-1213, 2022. (ESI 高被引論文)
  8. 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, 375(4): 2457-2470, 2020.
  9. J. Zhang, Tao Feng, Fei Yan, Shaojie Qiao and Xiaomin Wang, Analysis and design on intervehicle distance control of autonomous vehicle platoons, ISA Transactions, 100: 446-453, 2020.
  10. Tao Feng, J. Zhang* and Huaguang Zhang, Consensusability of discrete-time linear multi-agent systems with multiple inputs, Neurocomputing, 383: 183-193, 2020.
  11. J. Zhang and 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.
  12. 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 高被引論文)
  13. 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.
  14. 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.
  15. 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.
  16. 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 高被引論文)
  17. J. Zhang, Huaguang 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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（自動化學報 英文版）, 39(2): 142-148, 2016.
  22. J. Zhang, Huaguang Zhang, Feisheng Yang and Shenquan Wang, Robust fault detection filter design for a class of time-delay system via equivalent transformation, Control Theory Application（控制理論與套用 英文版）, 11(1): 54-60, 2013.

會議論文

  1. 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.
  2. Tao Feng, J. Zhang, 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.
  3. 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, 27-29 July, 1-3 June, 2016.
  5. 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.
  6. 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, 25-27, July, 2012.
  7. 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, 10-15, June, 2012.

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