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李峰忠

作者:   时间:2018-12-17   点击数:
姓名: 李峰忠

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性别:
民族: 汉族
出生年月: 1988.10
学历: 博士
职称: 副研究员
导师信息: 硕士生导师
党派: 中国共产党
学科一: 控制科学与工程
邮箱: lifzh@sdu.edu.cn
个人主页:

https://faculty.sdu.edu.cn/lifengzhong1/zh_CN/index.htm

所在院系: 山东大学控制科学与工程学院
研究方向:

非线性与随机系统控制、自适应与时变反馈控制、网络化系统控制与优化、无人机群协同控制与优化

通信地址:

济南市经十路17923号山东大学千佛山校区,控制科学与工程学院

学习与工作经历 

主要从事不确定非线性系统反馈控制及其应用方面的研究,在非线性与随机系统控制设计和性能分析、自适应与时变反馈控制、事件触发控制分析与综合、协同控制与智能优化等方面取得系列成果。相关论文发表于“IEEE Trans Automatic Control”、“SIAM J Control and Optimization”、“Automatica”、“Systems & Control Letters”、“IEEE Trans Cybernetics”、“IEEE Trans Industrial Informatics” 、“SCIENCE CHINA Information Sciences”、“IEEE Trans Industrial Electronics”、“IEEE Trans Power Systems”等控制领域权威期刊。

承担国家级/省部级纵向科研项目,获“中国自动化学会优秀博士学位论文奖”,入选山东大学“青年学者未来计划”,是山东省“泰山学者攀登计划创新团队”核心成员。先后任中国自动化学会青年工作委员会常务委员、中国工业和应用数学学会系统与控制数学专业委员会委员、中国人工智能学会智能控制与智能管理专委会委员。

详细介绍见个人主页:https://faculty.sdu.edu.cn/lifengzhong1/zh_CN/index.htm

代表性论著

[J1] Fengzhong Li and Yungang Liu, General stochastic convergence theorem and stochastic adaptive output-feedback controller, IEEE Transactions on Automatic Control(长论文), 62(5): 2334-2349, 2017.

[J2] Fengzhong Li and Yungang Liu, Event-triggered stabilization for continuous-time stochastic systems, IEEE Transactions on Automatic Control(长论文), DOI: 10.1109/TAC.2019. 2953081.

[J3] Fengzhong Li and Yungang Liu, Prescribed-performance control design for pure-feedback nonlinear systems with most severe uncertainties, SIAM Journal on Control and Optimization, 56(1): 517-537, 2018.

[J4] Fengzhong Li and Yungang Liu, Control design with prescribed performance for nonlinear systems with unknown control directions and non-parametric uncertainties, IEEE Transactions on Automatic Control, 63(10): 3573-3580, 2018.

[J5] Fengzhong Li and Yungang Liu, Global output-feedback stabilization with prescribed convergence rate for nonlinear systems with structural uncertainties, Systems & Control Letters, 134: 104521, 2019.

[J6] Fengzhong Li and Yungang Liu, Global stabilization via time-varying output-feedback for stochastic nonlinear systems with unknown growth rate, Systems & Control Letters, 77: 69-79, 2015.

[J7] Fengzhong Li and Yungang Liu, Periodic event-triggered output-feedback stabilization for stochastic systems, IEEE Transactions on Cybernetics(长论文), DOI: 10.1109/TCYB.2019. 2946169.

[J8] Fengzhong Li and Yungang Liu, Global finite-time stabilization via time-varying output- feedback for uncertain nonlinear systems with unknown growth rate, International Journal of Robust and Nonlinear Control, 27(17): 4050-4070, 2017.

[J9] Fengzhong Li and Yungang Liu, Global practical tracking with prescribed transient performance for inherently nonlinear systems with extremely severe uncertainties, SCIENCE CHINA Information Sciences, 62: 22204, 2019.

[J10]Fengzhong Li and Yungang Liu, Global stability and stabilization of more general stochastic nonlinear systems, Journal of Mathematical Analysis and Applications, 413(2): 841-855, 2014.

[J11]Fengzhong Li and Yungang Liu, Stabilization and destabilization via time-varying noise for uncertain nonlinear systems, ESAIM: Control, Optimisation and Calculus of Variations, 22(3): 610-624, 2016.

[J12]Xinglong Niu, Yungang Liu and Fengzhong Li, Consensus via time-varying feedback for uncertain stochastic nonlinear multi-agent systems, IEEE Transactions on Cybernetics(长论文), 49(4): 1536-1544, 2019.

[J13]Hui Sun, Yungang Liu, Fengzhong Li and Xinglong Niu, Fully distributed LQR optimal protocol for leader-following consensus, IEEE Transactions on Cybernetics(长论文), 49(9): 3532-3546, 2019.

[J14]Huijun Liang, Yungang Liu, Fengzhong Li and Yanjun Shen, Dynamic economic/emission dispatch including PEVs for peak shaving and valley filling, IEEE Transactions on Industrial Electronics(长论文), 66(4): 2880-2890, 2019.

[J15]Huijun Liang, Yungang Liu, Fengzhong Li and Yanjun Shen, A multiobjective hybrid bat algorithm for combined economic/emission dispatch, International Journal of Electrical Power & Energy Systems, 101: 103-115, 2018.

科研项目

迄今承担国家级/省部级科研项目7项,特别是主持国家自然科学基金青年科学基金项目、中国博士后科学基金特别资助项目及面上资助项目(一等)、山东省自然科学基金博士基金项目。


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