师资队伍

教授 学院首页 > 师资队伍 > 教授 > 正文
刘允刚

作者:   时间:2018-12-17   点击数:
姓名: 刘允刚

undefined

性别:
民族: 汉族
出生年月: 1970.2
学历: 博士
职称: 教授
导师信息: 博士生导师
职务:
党派: 共产党
电话: 0531-88392535
传真:
学科一: 控制科学与工程
学科二:
邮箱: lygfr@sdu.edu.cn
个人主页:

http://misc.sdu.edu.cn/szzh/lyg.htm

所在院系: 山东大学控制科学与工程学院
研究方向:

非线性控制与自适应控制、随机系统及其控制、多体系统与协同控制、智能优化与智能决策、无人系统与自主智能。详见http://misc.sdu.edu.cn/szzh/lyg.htm

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

详见http://misc.sdu.edu.cn/szzh/lyg.htm

教育部“长江学者”特聘教授、国家杰出青年科学基金获得者、国务院政府特殊津贴获得者、山东省泰山学者攀登计划入选者、教育部新世纪优秀人才支持计划入选者、山东省自然科学杰出青年基金获得者。

曾获国家自然科学奖二等奖、第十届“关肇直”奖、中国自动化学会优秀博士论文导师奖、山东省优秀研究生指导教师奖、山东大学十大优秀教师奖、山东省和山东大学优秀博士学位论文指导教师奖、教育部-IBM高校合作项目优秀教师奖、山东大学优秀研究生指导教师奖等。

/曾任中国系统工程学会理事、中国自动化学会青年工作委员会副主任委员、中国工业与应用数学学会系统与控制数学专业委员会副主任委员、中国人工智能学会自主无人系统专业委员会副主任委员、中国自动化学会控制理论专业委员会委员、山东省电子学会常务理事及人工智能与机器视觉专委会主任委员、济南国家新一代人工智能创新发展试验区AI社会实验专家委员会专家等。担任多个SCI/EI期刊的编委,特别是《SCIENCE CHINA: Information Sciences》(中英文版)。

主要学习与工作经历                                                                                                                                   

2003.04−至今  山东大学,控制科学与工程学院,教授

2004.06−至今  山东大学,控制科学与工程学院,博导

2009.09−2011.08 国家自然科学基金委,信息三处,项目主任

2004.03−2004.08 香港中文大学,机械与自动化工程系,副研究员

2004.10-2005.04 新加坡国立大学,电气与计算机工程系,研究员

2001.03−2003.04  中国科学院数学与系统科学研究院,博士后

1997.04−2000.07  上海交通大学,自动化系,博士生

近年来完成的研究项目

迄今承担近30项国家/省部级科研项目,主持国家杰出青年科学基金(2014.1-2017.12)、国家自然科学基金重点项目(2021.1-2025.12)、山东省重大科技创新工程(项目经费2400万元,2019.11-2022.6)、山东省重大基础研究项目(2024.1-2026.12)。

研究领域

详见http://misc.sdu.edu.cn/szzh/lyg.htm

长期从事不确定非线性系统分析与控制设计理论和方法的研究,在随机与非线性系统控制设计与性能分析、自适应/时变反馈控制理论及其应用、非线性系统事件触发控制理论与方法、多智能体系统的分布式协调与优化、无人系统与自主智能等方面取得一系列学术成果。

发表相关学术论文300余篇,特别是在控制理论及应用著名期刊“IEEE Trans Automat Contr”、“SIAM J Control Optim”、“Automatica”、“IEEE Trans Cybernetics”、“IEEE Trans Syst Man Cybern Syst”、“SCL”、“IJRNC”、“IEEE Trans Power Syst”、“IEEE Trans Ind Electr”、“Int J Electr Power Energy Syst”、“IJC”、《中国科学》等发表大量科研论文。

代表性论著

详见http://misc.sdu.edu.cn/szzh/lyg.htm

1. Global output-feedback control by exploiting high-gain dynamic-compensation mechanisms, SIAM Journal on Control and Optimization, Accepted, Dec. 2023

2. An enhanced strategy for adaptive output feedback control of uncertain nonlinear systems, SIAM Journal on Control and Optimization, 60(2): 1064-1091, 2022.

3. Prescribed-performance control design for pure-feedback nonlinear systems with most severe uncertainties, SIAM Journal on Control and Optimization, 56(1): 517-537, 2018.

4. Global finite-time stabilization via time-varying feedback for uncertain nonlinear systems, SIAM Journal on Control and Optimization, 52(3): 1886-1913, 2014.

5. Global asymptotic regulation via time-varying output feedback for a class of uncertain nonlinear systems, SIAM Journal on Control and Optimization, 51(6): 4318-4342, 2013.

6. Global practical tracking for high-order uncertain nonlinear systems with unknown control directions, SIAM Journal on Control and Optimization, 48(7): 4453-4473, 2010.

7. Conditions and synthesis of adaptive prescribed-time controllers, IEEE Transactions on Automatic Control, 68(12): 8005-8012, 2023.

8. Adaptive stabilization with control-dependent stochastic noise, IEEE Transactions on Automatic Control, 68(10): 6291-6298, 2023.

9. An enlarged framework of event-triggered control for stochastic systems, IEEE Transactions on Automatic Control, 66(9): 4132-4147, 2021.

10. Global practical tracking via adaptive output feedback for uncertain nonlinear systems without polynomial constraint, IEEE Transactions on Automatic Control, 66(4): 1848-1855, 2021.

11. Adaptive control of uncertain coupled reaction-diffusion dynamics with equi-diffusivity in the actuation path of an ODE system, IEEE Transactions on Automatic Control, 66(2): 802-809, 2021.

12. Event-triggered stabilization for continuous-time stochastic systems, IEEE Transactions on Automatic Control, 65(10): 4031-4046, 2020.

13. Practical tracking via adaptive event-triggered feedback for uncertain nonlinear systems, IEEE Transactions on Automatic Control, 64(9): 3920-3927, 2019.

14. 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.

15. General stochastic convergence theorem and stochastic adaptive output-feedback controller, IEEE Transactions on Automatic Control, 62(5): 2334-2349, 2017.

16. New stochastic convergence theorems: Overcoming the limitations of LaSalle theorems, Automatica, 157: 111276, 2023.

17. Adaptive output-feedback control for exponential regulation, Automatica, 148: 110766, 2023.

18. Adaptive finite-time stabilization for uncertain nonlinear systems with unknown control coefficients, Automatica, 149: 110845, 2023.

19. On stabilizability of multi-agent systems, Automatica, 144: 110491, 2022.

20. Global adaptive stabilization via asynchronous event-triggered output-feedback, Automatica, 139: 110181, 2022.

21. Adaptive Event-triggered output-feedback controller for uncertain nonlinear systems, Automatica, 117: 109006, 2020.

22. Switching event-triggered control for a class of uncertain nonlinear systems, Automatica, 108: 108471, 2019.

23. Global adaptive output-feedback stabilization for a class of uncertain nonlinear systems with unknown growth rate and unknown output function, Automatica, 104: 173-181, 2019.

24. Global adaptive stabilization and practical tracking for nonlinear systems with unknown powers, Automatica, 100: 171-181, 2019.

25. Prescribed-time exact tracking for a class of nonlinear systems, IEEE Control Systems Letters, 7: 1351-1356, 2023.

26. A new adaptive event-triggered scheme enabling inter-execution time pre-evaluation and double-side communication reduction, IEEE Control Systems Letters, 6: 2329-2334, 2022.

27. Finite-time stabilization with arbitrarily prescribed settling-time for uncertain nonlinear systems, Systems & Control Letters, 159: 105088, 2022.

28. Global output-feedback stabilization for a class of uncertain time-varying nonlinear systems, Systems & Control Letters, 90: 20-30, 2016.

29. Global stabilization via time-varying output-feedback for stochastic nonlinear systems with unknown growth rate, Systems & Control Letters, 77: 69-79, 2015.

30. Connectivity-preserving consensus: An adaptive event-triggered strategy, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.7169, 2023

31. Adaptive event-triggered control for nonlinear systems with time-varying parameter uncertainties, International Journal of Robust and Nonlinear Control, DOI:10.1002/rnc.7072, 2023.

32. Continuous adaptive finite-time stabilization with arbitrarily prescribed settling-time, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.7013, 2023.

33. A switching adaptive scheme for global output-feedback stabilization of inherent nonlinear systems with unknown control direction, International Journal of Robust and Nonlinear Control, 32(9): 5436-5452, 2022.

34. Fully distributed adaptive finite-time consensus for uncertain nonlinear multiagent systems, IEEE Transactions on Cybernetics, 52(7): 6972-6983, 2022.

35. Periodic event-triggered output-feedback stabilization for stochastic systems, IEEE Transactions on Cybernetics, 51(10): 5142-5155, 2021.

36. Distributed LQR optimal protocol for leader-following consensus, IEEE Transactions on Cybernetics, 49(9): 3532-3546, 2019.

37. Optimal consensus via distributed protocol for second-order multi-agent systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(10): 6218-6228, 2021.

38. Switching adaptive controller for the nonlinear systems with uncertainties from unknown powers, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(7): 2375-2385, 2020.

39. Event-triggered output-feedback stabilization with prescribed convergence rate, IEEE Transactions on Industrial Informatics, 19(3): 2847-2855, 2023.

40. Dynamic economic/emission dispatch including PEVs for peak shaving and valley filling, IEEE Transactions on Industrial Electronics, 66(4): 2880-2890, 2019.

41. A hybrid bat algorithm for economic dispatch with random wind power, IEEE Transactions on Power Systems, 33(5): 5052-5061, 2018.

42. Adaptive output-feedback tracking for nonlinear systems with unknown control direction and generic inverse dynamics, SCIENCE CHINA: Information Sciences, 65: 182204, 2022.

43. Adaptive control of nonlinear systems with severe uncertainties in the input powers, SCIENCE CHINA: Information Sciences, 64: 112211, 2021.

44. Global practical tracking with prescribed transient performance for inherently nonlinear systems with extremely severe uncertainties, SCIENCE CHINA: Information Sciences, 62: 22204, 2019.

45. Global practical tracking via adaptive output-feedback for uncertain nonlinear systems with generalized control coefficients, SCIENCE CHINA: Information Sciences, 59(1): 1-13, 2016.

主 讲 课 程        

概率论与数理统计,最优控制 

   

上一条:张焕水

下一条:姬冰

©2019控制科学与工程 学院 山东大学千佛山校区
山东省济南市经十路17923号 邮编250061