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    李靖

    • 教授 博士生导师 研究生导师
    • 性别:女
    • 毕业院校:西安电子科技大学
    • 学历:博士研究生毕业
    • 学位:博士学位
    • 在职信息:在岗
    • 所在单位:数学与统计学院
    • 入职时间: 2004-03-25
    • 学科:运筹学与控制论
    • 办公地点:南校区信远II区234东
    • 联系方式:lijingmath@xidian.edu.cn
    • 电子邮箱:

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    个人简介:

    李靖,西安电子科技大学,数学与统计学院,教授

     

    教育经历:

    2005/2–2010/3,西安电子科技大学,理学院,博士,导师:李俊民

    2001/8–2004/3,西安电子科技大学,理学院,硕士,导师:李俊民

    1997/9–2001/7,河南大学,数学系,学士


    科研与学术工作经历:

    2011/10-2012/10,英国帝国理工学院,生物工程系人与机器人小组,访问学者,合作导师:Etienne Burdet

    2011/10-2012/4,英国普利茅斯大学,计算数学学院机器人与神经系统中心,访问学者,合作导师:杨辰光、Phil Culverhouse

    2009/9-2010/7,山东大学,控制科学与工程学院,访问学者,合作导师:刘允刚 (杰青、长江学者)

     

    科研项目:

    中国核动力研究设计院横向项目:模块化回路实验智能判断及测控系统,2021.6-2022.7,参与

    陕西省自然科学基金项目(2018JM6026):基于事件触发通信的严格反馈非线性系统自适应神经网络控制,2018.1-2019.12,主持

    国家自然科学基金项目 (61673014):  逼近精度已知和全局稳定的自适应神经网络控制,2017.1-2020.12,主持

    国家自然科学基金项目 (61673308):  不确定系统的事件驱动自适应控制,2017.1-2020.12,参与

    华为技术有限公司项目(HX01201707011):移动通信下行自适应调度算法技术合作,2017.1-2018.12,参与

    哈尔滨工业大学项目(HX01201610022):数据压缩与图像综合处理关系分析,2016.1-2019.6,参与

    国防科工局项目(FG11016330001): 在线实时控制技术研究,2016.1-2018.12, 参与

    研究生精品教材建设立项项目(JPJC1410): 自适应控制理论,2014.6-2016.6,主持

    国家自然科学基金项目 (61203074) : 基于对运动神经元智能探索的新型自适应学习控制研究,2013.1-2015.12,主持

    中央高校基本科研业务费 (K5051370014): 自适应神经网络学习控制在人机交互中的应用研究,2013.1-2014.12,主持

    国家自然科学基金项目 (61173213): 基于神经网络的非线性系统合作学习辨识与控制,2012.1-2015.12,参与

    中央高校基本科研业务费 (K50510700002): 随机非线性系统的有限时间控制研究,2010.8-2012.9,主持

     

    学术论著:

    • 张朝辉,闵晓飞,李靖. 基于SDN的网络路径规划仿真平台1.0, 2021SR1804442, 原始取得, 全部权利 , 2021-9-20 (软件著作权)

    • 陈为胜,李靖. 分布式自适应系统辨识与控制理论,科学出版社,2019.06.

    • Qingquan Yang, Xiaobo Li, Jing Li*. Output consensus for networked heterogeneous nonlinear multi-agent systems by distributed event-triggered control. International Journal of Control, DOI: 10.1080/00207179.2021.1878279.

    • Jian Wu; Xuemiao Chen; Qianjin, Zhao; Jing Li; Zheng-Guang, Wu; Adaptive neural dynamic surface control with prespecified tracking accuracy of uncertain stochastic nonstrict-feedback systems, IEEE Transactions on Cybernetics. DOI: 10.1109 /TCYB.20 20.30126 07

    • 张朝辉,李靖*,韩璐珩. 基于数据-地理位置驱动的5G微基站最优分配策略,计算机学报, (录用,CCF A期刊).

    • Xiaoli Yang, Jing Li*, Jian Wu, Xiaobo Li. Adaptive NN Tracking Control for Periodically Time-Varying Nonlinear Switching Systems. International Journal of Control, Automation and Systems,录用

    • Jing Li, Wei Zhang, Zhaohui Zhang, Xiaobo Li, Xiaoli Yang. Predictive control based on event-triggering mechanism of cyber-physical systems under denial-of-service attacks. Information Sciences, 2022, 586: 294-309.

    • Jing Li, Han Liu, Zhaohui Zhang, Xiaobo Li, Xiaoli Yang. Event-triggered adaptive NN tracking control with dynamic gain for a class of unknown nonlinear systems. Neurocomputing, 2022, 467: 292-299. 

    • Xiaoli Yang, Jing Li*, Shuiyan Wu, Xiaobo Li. Adaptive NN prescribed performance control design for uncertain switching nonlinear systems with periodically time-varying parameters. Neural Computing and Applications, 2022, 34: 617–629. 

    • Jiale Yi, Jing Li*, Zhaohui Zhang. Dynamic event-triggered output consensus of nonstrict-feedback MASs with predefined performance. Journal of the Franklin Institute, 2022, 359(2): 1522-1543. 

    • Yang Xiaoli, Li Jing*, Zhang Zhaohui. Adaptive NN tracking control with prespecified accuracy for a class of uncertain periodically time-varying and nonlinearly parameterized switching systems. Neurocomputing, 2021, 435: 273-282.

    • Xuemiao Chen, Ziwen Wu, Jing Li, Qianjin Zhao. Adaptive asymptotic regulation for uncertain nonlinear stochastic systems with time-varying delays. Symmetry, 2021, 13: Article ID 2284, 1-20. 

    • Yingying Fu, Jing Li*, Shuiyan Wu, Xiaobo Li. Dynamic Event-Triggered Adaptive Tracking Control for a Class of Unknown Stochastic Nonlinear Strict-Feedback Systems. Symmetry, 2021, 13: Article ID 1648, 1-17. 

    • Shuiyan Wu, Xiaofei Min, Jing Li*. Optimal data transmission for WSNs with data-location integration. Symmetry, 2021, 13: Article ID 1499, 1-15.

    • Fei Gao, Weisheng Chen, Zhiwu Li, Jing Li, Bin Xu. Neural network-based distributed cooperative learning control for multiagent systems via event-triggered communication. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(2):407-419. 

    • Qing-Quan Yang, Jing Li*, Xiangchu Feng, Shuiyan Wu, Fei Gao. Event-triggered consensus for second-order multi-agent systems via asynchronous periodic sampling control approach. International Journal of Control, Automation and Systems, 2020,18(6):1399-1411.

    • Qianjin Zhao, Xuemiao Chen, Jing Li, Jian Wu. Finite-time adaptive fuzzy DSC for uncertain switched systems. International Journal of Fuzzy Systems, 2020, 22(7):2258-2270.

    • Zhaohui Zhang, Jing Li*, Qian Liu. Modified least squares algorithm for three-dimensional target location based on wireless communication base stations. Complexity, 2020, Article ID: 3594263, 1-14.

    • Zhaohui Zhang, Jing Li*, Xiaoli Yang. Data aggregation in heterogeneous wireless sensor networks by using local tree reconstruction algorithm. Complexity, 2020, Article ID: 5879415, 1-10.

    • Yang Qingquan, Li Jing*, Wang Bohui. Leader-following output consensus for high-order nonlinear multi-agent systems by distributed event-triggered strategy via sampled data information, IEEE Access, 2019, 7:70799-70810.

    • Fakui WANG, Weisheng CHEN, Hao DAI, Jing LI, Jinping JIA. Backstepping control of a quadrotor unmanned aerial vehicle based on multi-rate sampling. SCIENCE CHINA Information Sciences, 2019, 62, 019203: 1–3. 

    • Wu Jian, Wu Zheng Guang, Wang Guangjun, Zhao Haiying, Chen Weisheng, Li Jing. Practical adaptive fuzzy control of nonlinear pure-feedback systems with quantized nonlinearity input. IEEE Transactions on Systems Man Cybernetics-Systems, 2019, 49(3):638-648. 

    • Jinping Jia, Weisheng Chen, Hao Dai, Jing Li. Global stabilization of high-order nonlinear systems under multi-rate sampled-data control. Nonlinear Dynamics, 2018, 94: 2441-2453.

    • Fei Gao, Weisheng Chen, Zhiwu Li, Jing Li *. Event-triggered cooperative learning from output feedback control for multi-agent systems, Neurocomputing, 2018, 322:70-79. 

    •  Yi Jiale, Li Junmin, Li Jing. Adaptive fuzzy output feedback control for nonlinear nonstrict-feedback time-delay systems with full state constraints, International Journal of Fuzzy Systems, 2018, 20(6):1730-1744. 

    • Jing Li#, Xiaoli Yang, Jian Wu*. Adaptive Tracking Control Approach With Prespecified Accuracy for Uncertain Nonlinearly Parameterized Switching Systems, IEEE Access, 2018, 6: 3786-3793.

    • Jian Wu#, Benyue Su, Jing Li*, Xu Zhang, Liefu Ai, Global adaptive neural tracking control of nonlinear MIMO systems, Neural Computing & Applications, 2017, 28(12): 3801-3813.

    • Jing Li#, Jian Wu*, Xi GuoXiaobo Li, Liefu Ai, Global Finite-time Stabilization for a Class of High-order Nonlinear Systems with Multiple Unknown Control Directions, International Journal of Control, Automation and Systems, 2017, 15(1): 178-185.

    •  Jian Wu#, Benyue Su, Jing Li*, Xu Zhang, Xiaobo Li, Weisheng Chen, Adaptive fuzzy control for full states constrained systems with nonstrict-feedback form and unknown nonlinear dead zone, Information Sciences, 2017, 376: 233-247.

    • Jian Wu#,*, Jing Li, Guangdeng Zong, Weisheng ChenGlobally finite-time adaptive stabilization of nonlinearly parametrized systems with multiple unknown control directions, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017,47(7): 1405-1414.

    • Jian Wu#, Weisheng Chen*Jing Li, Globally finite-time adaptive stabilization for uncertain nonlinear systems with multiple unknown control directions, Automatica, 2016, 69(7): 298-307.

    • Jian Wu#,*Jing Li, Adaptive fuzzy control for perturbed strict-feedback nonlinear systems with predefined tracking accuracy, Nonlinear Dynamics, 2016, 83(3): 1185-1197.

    • Jian Wu#,*, Weisheng Chen, Jing Li, Fuzzy-approximation-based global adaptive control for uncertain strict-feedback systems with a priori known tracking accuracy, Fuzzy Sets and Systems, 2015, 273: 1-25.

    • Jian Wu#,*, Jing Li, Weisheng Chen, Semi-globally/globally stable adaptive NN backstepping control for uncertain MIMO systems with tracking accuracy known a prioriJournal of the Franklin Institute2014351(3)5274-5309. 

    • Jing Li#,*, Xi Guo, Zhijun Li, Weisheng Chen, Stochastic adaptive optimal control of under-actuated robots using neural networks, Neurocomputing, 2014, 142(3): 190-200.

    • Yang Chenguang#,*, Zhijun Li*, Jing Li*, Trajectory planning and optimized adaptive control for a class of wheeled inverted pendulum vehicle modelsIEEE Transactions on Cybernetics, 2013, 43(1): 24-36.

    • Jing Li# *, Junmin Li, Yuli Xiao, Adaptive NN stabilization for stochastic systems with discrete and distributed time-varying delays, Journal of Systems Engineering and Electronics, 2011, 22(6): 954-966.

    • Jing Li#,*Weisheng Chen, Jun-Min Li, Adaptive NN output-feedback decentralized stabilization for a class of large-scale stochastic nonlinear strict-feedback systemsInternational Journal of Robust and Nonlinear Control201121(4): 452-472.

    • Jing Li#,*, Jun-Min Li, Weisheng Chen, Comments on "Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition", Automatica, 2010, 46(3): 633-634.

    • Jing Li#,*, Weisheng Chen, Jun-Min Li, Yiqi Fang, Adaptive NN output-feedback stabilization for a class of stochastic nonlinear strict-feedback systems, ISA Transactions, 2009, 48(4): 468-475.

     

    社会兼职

  • 担任《Symmetry-Basel》客座编辑

  • 担任《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Cybernetics》、《Automatica》、《Neurocomputing》、《ISA Transactions》、《International Journal of Robust and Nonlinear Control》、《ACTA Automatica》、《Journal of Systems Engineering and Electronics》、《自动化学报》、《控制理论与应用》、《控制与决策》、《西安电子科技大学学报》、《哈尔滨工程大学学报》等期刊的审稿人

  • 曾任the 3rd IFAC International Conference on Intelligent Control and Automation Science(ICONS2013)“自适应控制与学习控制”分会副主席

  • 研究方向

  • 复杂非线性系统的自适应控制与智能控制

  • 随机非线性系统自适应神经网络控制

  • 机器人运动控制和路径规划

  • 基于事件触发通信的自适应神经网络控制与辨识