2665威尼斯

2665威尼斯欢迎您?,今天是?:?2018年6月8日 English |? 简体中文
刘玉荣
发布日期:2018-09-14

姓名:刘玉荣

个人简介

刘玉荣,男,1964年1月出生,数学学院教授,博士生导师,SCI刊物Neurocomputing编委。主要从事复杂网络动力学分析,复杂系统控制、状态估计与滤波等方面的研究。迄今为止,已发表SCI论文100余篇,主持4项国家自然科学基金面上项目,2项江苏省自然科学基金面上项目。入选Thomson Reuters 高被引科学家(2014, 2015),Clarivate Analytics高被引 科学家(2016),Elsevier中国高被引学者(2014-2017)名录。获一项江苏省科学技术奖二等奖(2015年,排名第一),一项上海市科学技术奖二等奖(2016年,排名第三)。

 联系方式:

Professor Yurong Liu

School of Mathematical Science

Yangzhou University

180 Siwangting Road, Hanjiang District, Yangzhou

Jiangsu 225002, P. R. China

Email: liuyurong@gmail.com; yrliu_66@126.com; yrliu@yzu.edu.cn

教育经历

1998/09-2001/07, 苏州大学,数学系, 研究生/博士

1986/09-1989/04, 南京理工大学, 应用数学系, 研究生/硕士

1982/09-1986/07, 苏州大学,数学系, 本科/学士

工作经历:

1998/09-至今    2665威尼斯,讲师,副教授,教授

1989/04-1998/09 扬州工学院基础课部数学教研室,助教,讲师

出国交流:

  2018/06-2018/08  英国Brunel大学,访问学者

  2016/06-2018/09  英国Brunel大学,访问学者

2014/04-2015/03 澳大利亚中央昆士兰大学 研究员

2013/07-2013/11 澳大利亚中央昆士兰大学 访问

2012/01-2012/02  香港城市大学 研究员

2011/06-2011/09  英国Brunel 大学 研究员

2010/09-2010/12  香港城市大学  研究员

2007/10-2008/04  英国Brunel 大学 研究员

2006/04-2006/10  英国Brunel 大学 研究员

2013/11-2014/10  英国Warwick 大学   访问学者

主持科研项目:

1. 国家自然科学基金面上项目(61773017), 基于通信协议的复杂网络同步与  牵制控制, 2018.1-2021.12.

2. 国家自然科学基金面上项目(61374010), 基于采样数据的有向复杂网络牵制控制与同步, 2014.1-2017.12.

3. 国家自然科学基金面上项目(61374010), 参数依赖于马尔科夫链的有向复杂网络动力学分析与滤波, 2011.01-2013.12.

4. 国家自然科学基金面上项目(60774073),复杂网络结构稳定性、动力学演化及同步研究, 2008.01-2010.12.

5. 江苏省自然科学基金面上项目(BK2010313), 有向复杂网络动力学同步研究以及在保密通信中的应用,2010.7-2012.12.

6. 江苏省自然科学基金面上项目(BK2007075),复杂网络动力学研究与状态估计,2007.7-2009.12.

获奖和荣誉

1. 2016年度上海市科学技术奖二等奖(“随机非线性网络化系统的滤波、控制与故障检测理论研究” ,排名第三);

2. 2015年度江苏省科学技术奖二等奖(“复杂动态网络的动力学分析:理论与方法” ,排名第一);

3. 入选Thomson Reuters“高被引科学家(Highly Cited Researcher)”(2014, 2015),Clarivate Analytics“高被引科学家”(2016)名录;

4. 入选Elsevier“中国高被引学者(Most Cited Chinese Researcher)”(2014-2017)名录;

5. 入选扬州大学“高端人才支持计划”(2016);

6. 扬州大学“十二五科技功臣”(2016);

7. 入选“六大人才高峰”第九批高层次人才项目(2012).

论文代表作

1. Y. Liu, Z. Wang, Y. Yuan and W. Liu, Event-triggered partial-nodes-based state estimation for delayed complex networks with bounded distributed delays, IEEE Transactions on Systems, Man, and Cybernetics - Systems, (in press).

2. F. Yang , Q.-L. Han , and Y. Liu, Distributed H-infinity state estimation over a filtering network with time-varying and switching topology and partial information exchange, IEEE Transactions on Cybernetics, (in press).

3. Y. Liu, Z. Wang, Y. Yuan, and F. Alsaadi, Partial-Nodes-Based state estimation for complex networks with unbounded distributed delays, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 8, 3906-3912 (2018).

4. Y. Cui, Y. Liu, W. Zhang, and F. Alsaadi, Event based consensus for a class of nonlinear multiagent systems with sequentially connected topology, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol 65, No. 10, 3506-3518 (2018).

5. Y. Liu, Z. Wang, L. Ma, Y. Cui,F. Alsaadi,Synchronization of directed switched complex networks with stochastic link perturbations and mixed time-delays, Nonlinear Analysis: Hybrid Systems, Vol. 27, 213-224 (2018).

6. D.Liu,Y. Liu, F.Alsaadi,Recursive state estimation based-on the outputs of partial nodes for discrete-time stochastic complex networks with switched topology, Journal of the Franklin Institute, Vol 355, No. 11, 4686-4707 (2018).

7. Y. Cui, Y. Liu,W. Zhang, F. Alsaadi, Stochastic Stability for a Class of Discrete-time Switched Neural Networks with Stochastic Noise and Time-varying Mixed Delays, International Journal of Control, Automation and Systems, Vol. 16, 158-167 (2018).

8. W. Zhang, Z. Wang, Y. Liu, D. Ding, F. Alsaadi, Sampled-data consensus of nonlinear multiagent systems subject to cyber attacks, International Journal of Robust and Nonlinear Control, Vol. 28, 53-67 (2018).

9. Y. Zou, J. Zhu, Y. Liu, State-feedback controller design for disturbance decoupling of Boolean control networks, IET Control Theory and Applications, Vol. 11, 3233-3239 (2017).

10. 10. W. Zhang, Z. Wang, Y. Liu, D. Ding, F. Alsaadi, Distributed sampled-data containment control of linear multi-agent systems with xed topology, IET Control Theory and Applications, Vol. 11, 2299-2306 (2017).

11. 11. L. Ma, Z. Wang, Y. Liu, F. Alsaadi, A note on guaranteed cost control for nonlinear stochastic systems with input saturation and mixed time-delays, International Journal of Robust and Nonlinear Control, Vol. 27 4443-4456 (2017).

12. 12. L. Ma, Z. Wang, Y. Liu, F. Alsaadi, Exponential stabilization of nonlinear switched systems with distributed time-delay: An average dwell time approach, European Journal of Control, Vol. 37, 34-42 (2017).

13. 13. H. Tan, B. Shen,Y. Liu, F. Alsaedi, B. Ahmad, Event-triggered multi-rate fusion estimation for uncertain system with stochastic nonlinearities and colored measurement noises, Information Fusion, Vol. 36 313-320 (2017).

14. 14. Y. Liu, B. Du, A. Alsaedi, Existence and global exponential stability of periodic solution for a class of neutral-type neural networks with time delays, Neural Processing Letters, Vol. 45 981-993 (2017).

15. 15. W. Zhang, Y. Tang, Y. Liu, J. Kurths, Event-Triggering Containment Control for a Class of Multi-Agent Networks With Fixed and Switching Topologies, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 64 619{629 (2017).

16. 13. W. Zhang, Z. Wang, Y. Liu, D. Ding, F. Alsaadi, Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approach, Physics Letters A, Vol. 381 10-18 (2017).

17. 14. D. Liu, Y. Liu, and F. E. Alsaadi, A new framework for output feedback controller design for a class of discrete-time stochastic nonlinear system with quantization and missing measurement, International Journal of General Systems, Vol. 45, No. 5, 517-531 (2016).

18. 15. Y. Liu, W. Liu, M. A. Obaid, I. A. Abbas, Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time delays, Neurocomputing, Vol. 177, 409-415 (2016).

19. Q.-L. Han, Y. Liu, F. Yang, Optimal communication network-based H-infinity quantized control with packet dropouts for a class of discrete-time neural networks with distributed time delay, IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 2, 426-434 (2016).

20. W. Li, G. Wei, F. Han, Y. Liu, Weighted Average consensus-based unscented Kalman filtering, IEEE Transactions on Cybernetics, Vol. 46, No. 2, 558-567 (2016).

21. B. Du, Y. Liu, I. A. Abbas, Existence and asymptotic behavior results of periodic solution for discrete-time neutral-type neural networks, Journal of the Franklin Institute, Vol. 353, No. 2, 448-461 (2016).

22. G. Wei, S. Liu, Y. Song, Y. Liu, Probability-guaranteed set-membership filtering for systems with incomplete measurements, Automatica, Vol. 60, 12-16 (2015).

23. L. Li, D. W.C. Ho, Y. Liu, Discrete-time multi-agent consensus with quantization and communication delays, International Journal of General Systems, Vol. 43, No. 3-4, 319{329 (2014).

24. J. Liang, Z. Wang , Y. Liu and X. Liu, State estimation for two-dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays, International Journal of Robust and Nonlinear Control, Vol. 24, No. 1, 18-38 (2014).

25. Y. Liu, Z. Wang, J. Liang, and X. Liu, Synchronization of coupled  neutral-type neural networks with jumping-mode-dependent discrete and unbounded distributed delays, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetic, Vol. 43, no. 1, 102-114 (2013).

26. Y. Liu, D. W. C. Ho, and Z. Wang, A new framework for consensus for discrete time directed networks of multi-agents with distributed delays, International Journal of Control, Vol. 85, No. 11, 1755-1765 (2012).

27. Z. Wang, Y. Liu and X. Liu, Exponential stabilization of a class of stochastic system with Markovian jump parameters and mode-dependent mixed time-delays, IEEE Transactions on Automatic Control, Vol. 55, No. 7, 1656-1662 (2010).

28. Z. Wang, Y. Liu, G. Wei and X. Liu, A note on control of a class of discrete-time stochastic systems with distributed delays and nonlinear disturbances, Automatica,  Vol. 46, No. 3, 543-548 (2010).

29. Z.Wang, Y.Wang and Y. Liu, Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time-delays, IEEE Transactions on Neural Networks, Vol. 21, No. 1, 11-25 (2010).

30. Y. Liu, Z. Wang, J. Liang and X. Liu, Stability and synchronization of discrete time Markovian jumping neural networks with mixed mode-dependent time-delays, IEEE Transactions on Neural Networks, Vol. 20, No. 7, 1102-1116 (2009).

31. Z. Wang, X. Liu, Y. Liu, J. Liang and V. Vinciotti, An extended Kalman filtering approach to modelling nonlinear dynamic gene regulatory networks via short gene expression time series, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 6, No. 3, 410-419 (2009).

32. Y. Liu, Z. Wang, and X. Liu, On synchronization of discrete-time Markovian jumping stochastic complex networks with mode-dependent mixed time-delays, International Journal of Modern Physics B, Vol. 23 No. 3, 411-434 (2009).

33. Z. Wang, D. W. C. Ho, Y. Liu and X. Liu, Robust H-infinity control for a class of nonlinear discrete time-delay stochastic systems with missing measurements, Automatica, Vol. 45, No. 3, pp. 684-691 (2009).

34. Y. Liu, Z. Wang, and X. Liu, Asymptotic stability for neural networks with mixed time-delays: the discrete-time case, Neural Networks, Vol. 22, No. 1, 67-74(2009).

35. Y. Liu, Z. Wang, J. Liang and X. Liu, Synchronization and state estimation for discrete-time complex networks with distributed delays, IEEE Transactions on Systems, Man, and Cybernetics-Part B, Vol. 38, No. 5, 1314-1325 (2008).

36. Y. Liu, Z. Wang, and X. Liu, State estimation for discrete-time Markovian jumping neural networks with mixed mode-dependent delays, Physics Letters A, Vol. 372, No. 48, 7147-7155 (2008).

37. Y. Wang, Y. Liu and Z. Wang, Random attractors for partly dissipative stochastic lattice dynamical systems, Journal of Difference Equations and Applications, Vol. 14, No. 8, 799-817 (2008).

38. J. Liang, Z. Wang, Y. Liu and X. Liu, Robust synchronization of an array of coupled stochastic discrete-time delayed neural networks, IEEE Transactions on Neural Networks, Vol. 19, No. 11, 1910-1921 (2008).

39. Y. Liu, Z. Wang, and X. Liu, On delay-dependent robust exponential stability of stochastic neural networks with mixed time delays and Markovian switching, Nonlinear Dynamics, Vol. 54, No. 3, 199{212 (2008).

40. J. Liang, Z. Wang, Y. Liu and X. Liu, Global synchronization control of general delayed discrete-time networks with stochastic coupling and disturbances, IEEE Transactions on Systems, Man, and Cybernetics-Part B, Vol. 38, No. 4, 1073-1083 (2008).

41. Y. Liu, Z.Wang, and X. Liu, On synchronization of coupled neural networks with discrete and unbounded distributed delays, International Journal of Computer Mathematics, Vol. 85, No. 8, 1299-1313 (2008).

42. Z. Wang, Y. Liu and X. Liu, H-infinity filtering for uncertain stochastic time delay systems with sector-bounded nonlinearities, Automatica, Vol. 44, No. 5, 1268-1277 (2008).

43. Y. Liu, Z. Wang, and X. Liu, Exponential synchronization of complex networks with Markovian jump and mixed delays, Physics Letters A, Vol. 372, No. 22, 3986-3998 (2008).

44. Y. Liu, Z. Wang, and X. Liu, Robust H-infinity filtering for discrete nonlinear stochastic systems with time-varying delay, Journal of Mathematical Analysis and Applications, Vol. 341, No. 1, 318-336 (2008).

45. 83. Y. Liu, Z. Wang, and X. Liu, An LMI approach to stability analysis of stochastic high-order Markovian jumping neural networks with mixed time delays, Nonlinear Analysis: Hybrid Systems, Vol. 2, No. 1, 110-120 (2008).

46. Y. Liu, Z. Wang, and X. Liu, Robust stability of discrete-time stochastic neural networks with time-varying delays, Neurocomputing, Vol. 71, No. 4-6,823-833 (2008).

47. Y. Liu, Z. Wang, and X. Liu, Robust H-infinity control for a class of nonlinear stochastic systems with mixed time-delay, International Journal of Robust and Nonlinear Control , Vol. 17, No. 16, 1525-1551 (2007).

48. Y. Liu, Z. Wang, and X. Liu, Stability criteria for periodic neural networks with discrete and distributed delays, Nonlinear Dynamics, Vol. 49, No. 1-2, 93-103 (2007).

49. Y. Liu, Z. Wang, and X. Liu, Design of exponential state estimators for neural networks with mixed time delays, Physics Letters A, Vol. 364, No. 5, 401-412 (2007).

50. Y. Liu, Z. Wang, A. Serrano and X. Liu, Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis, Physics Letters A, Vol. 362, No. 5-6, 480-488 (2007).

51. 89. Y. Liu, Z. Wang, and X. Liu, On global exponential stability of generalized stochastic neural networks with mixed time delays, Neurocomputing, Vol. 70, No. 1-3, 314-326 (2006).

52. Z. Wang, Y. Liu, L. Yu and X. Liu, Exponential stability of delayed recurrent neural networks with Markovian jumping parameters, Physics Letters A, Vol. 356, No. 4-5, 346-352 (2006).

53. Z. Wang, Y. Liu, K. Fraser and X. Liu, Stochastic stability of uncertain Hopfield neural networks with discrete and distributed delays, Physics Letters A, Vol. 354,No. 4, 288-297 (2006).

54. Y. Liu, Z. Wang and X. Liu, Global exponential stability of generalized recurrent neural networks with discrete and distributed delays, Neural Networks, Vol. 19, No. 5, 667-675 (2006).

55. Z. Wang, Y. Liu, M. Li and X. Liu, Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays, IEEE Transactions on Neural Networks, Vol. 17, No. 3, 814-820 (2006).

56. Y. Liu, Z. Wang X. Liu, Global asymptotic stability of generalized bi-directional associative memory networks with discrete and distributed delays, Chaos, Solitons & Fractals, Vol. 28, No. 3, 793-803 (2006).

57. Z. Wang, Y. Liu, F. Yang and X. Liu, On designing robust controllers under randomly varying sensor delay with variance constraints, International Journal of General Systems, Vol. 35, No. 1, 1-15 (2006).




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