Professor, PhD, Department of Systems Science and Engineering,
School of Electrical Engineering, Zhejiang University

 

Zhejiang University, Yuquan Campus
38 Zheda Road
Hangzhou, China 310027

 

Other Appointments

Deputy Director, Institute of Electrical Automation (2009 - present)

 

Professional Activities

IEEE Member (2009 - present)

 

Education

Ph.D. – Central South University of Technology, Control Theory and Control Engineering, 1999.
B.S. – Central South University of Technology, industrial automation, 1994.

Working Experience

April 2008-December 2009, April 2009-August 2009, Visiting Scholar, Department of Electrical Engineering, University of New Orleans, USA.
2007 - present, Professor, Department of Systems Science and Engineering, School of Electrical Engineering, Zhejiang University.
2001 - 2007, Associate professor, School of Electrical Engineering, Zhejiang University.
1999 - 2001, Postdoctoral Research Fellow, Department of Control Science and Enginerring, Huazhong University of Science and Technology.
 

Awards and Honors

Science and Technology Award of Zhejiang Province, 2004
Excellent teacher of Zhejiang University, 2006
Science Achievement Award of Zhejiang Provincial Education Department, First prize, 2009
New Century Excellent Talents (NCET) in University, 2009
“151 Talents Project” of Zhejiang province-second research group, 2010
Distinguished Young Scientist of Zhejiang province, 2010
 

Research Interests

Information fusion
Intelligent Systems
nonlinear control

 

Current Projects

1. 2005-2008, On standard neural network model and its application based on the LMI approach, National Science Foundation of China under Grant 60504024.
2. 2005- 2006, On dynamics of recurrent neural networks based on standard neural network models, Research Project of Zhejiang Provincial Education Department under Grant 20050905.
3. 2006-2008, On asymptotical behaviors of hybrid system and their application based on standard model, Zhejiang Provincial Natural Science Foundation of china under Grant Y106010.
4. 2009-2011, Robust control and multi-sensor robust filtering for the intelligent systems with unified nonlinear operators, National Science Foundation of China under Grant 60874050.
5. 2009-2011, On dynamic resource allocation and data fusion algorithm for heterogeneous multiple sensor systems, Research Project of Zhejiang Provincial Education Department under Grant Z200909334.
6. 2010-2012, multi-sensor robust fusion filtering techniques and their applications to intelligent vehicle navigation, Program for New Century Excellent Talents (NCET) in University under Grant NCET-10-0692.
7. 2011-2013, Multi-model target tracking techniques based on chaotic intelligent optimization methods and robust estimation, Zhejiang Provincial Natural Science Foundation of China under Grant R1100234.
8. 2011-2013, On information fusion estimation for multiple sensor systems based on the unified intelligent system model, Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP), China under Grant 20100101110055.
9. 2011-2012, target tracking and identifying techniques for multiple sensor systems, ASFC20102076002.

Publication List

[1] D. Qi, M. Liu, M. Qiu, and S. Zhang, “Exponential H? synchronization of general discrete-time chaotic neural networks with or without time delays,” IEEE Transactions on Neural Networks, vol.21, no. 8, pp.1358-1365, Aug. 2010.
[2] M. Qiu, M. Chen, M. Liu, S. Liu, J. Li, X. Liu, and Y. Zhu, “Online energy-saving algorithm for sensor networks in dynamic changing environments,” Journal of Embedded Computing (JEC), vol. 3, no. 3, pp. 289-298, Apr. 2010.
[3] Meikang Qiu, Meiqin Liu, Hung-Chung Huang, Hao Li, Wenyuan Li, and Jiande Wu, “Energy-aware loop scheduling and assignment for multi-core, multi-functional-unit architecture,” Journal of Signal Processing Systems for Signal Image and Video Technology , vol. 57, no. 3, pp. 363-379, Dec. 2009.
[4] Meiqin Liu, “Stability analysis of discrete-time recurrent neural networks based on standard neural network models,” Neural Computing & Applications, vol. 18, no.8, pp. 861-874, Nov. 2009.
[5] Meiqin Liu, “Optimal exponential synchronization of general chaotic delayed neural networks: An LMI approach,” Neural Networks, vol. 22, no. 7, pp. 949-957, Sep. 2009.
[6] Meikang Qiu, Minyi Guo, Meiqin Liu, Chun Xue, Laurence T. Yang, and Edwin H.-M. Sha, “Loop scheduling and bank type assignment for heterogeneous multi-bank memory,” Journal of Parallel and Distributed Computing, vol.69, no. 6, pp. 546-558, Jun. 2009.
[7] M. Liu, “Global asymptotic stability analysis of discrete-time Cohen–Grossberg neural networks based on interval systems,” Nonlinear Analysis: Theory, Methods & Applications, vol. 69, no. 8, pp.2403-2411, Oct. 2008.
[8] M. Liu, “Robust H∞ control for uncertain delayed nonlinear systems based on standard neural network models,” Neurocomputing, vol. 71, no. 16-18, pp.3469-3492, Oct. 2008.
[9] M. Liu and S. Zhang, “An LMI approach to design H? controllers for discrete-time nonlinear systems based on unified models,” International Journal of neural systems, vol.18, no.5, pp.443-452, Oct. 2008.
[10] M. Liu, S. Zhang and G. Yan, “A new neural network model for the feedback stabilization of nonlinear systems,” Journal of Zhejiang University SCIENCE, vol. 9, no.8, pp.1015- 1023, Aug. 2008.
[11] M.-Q. Liu and J. -H. Zhang, “Exponential synchronization of general chaotic delayed neural networks via hybrid feedback,” Journal of Zhejiang University SCIENCE, vol. 9, no.2, pp.262-270, Feb. 2008.
[12]M. -Q. Liu and H.- F. Wang, “A novel stabilizing control for neural nonlinear systems with time delays by state and dynamic output feedback,” International Journal of Control, Automation, and Systems, vol. 6, no.1, pp.24-34, Feb. 2008.
[13]J. Zhang, S Zhang, and M. Liu, “Robust exponential stability analysis of a larger class of discrete-time recurrent neural network,” Journal of Zhejiang University SCIENCE A, vol. 8, no. 12, pp.1912-1920, Dec. 2007.
[14] M. Liu, “Delayed standard neural network models for control systems,” IEEE Transactions on Neural Networks, vol.18, no. 5, pp.1376-1391, Sep. 2007.
[15] M. Liu, “Unified stabilizing controller synthesis approach for discrete-time intelligent systems with time delays by dynamic output feedback,” Science in China Series F - Information Sciences, vol. 50, no. 4, pp.636-656, Aug. 2007.
[16] M. LIU, “Global exponential stability analysis for neutral delay- differential systems: an LMI approach,” International Journal of Systems Science, vol.37, no.11, pp.777-783, Sep. 2006.
[17] MEIQIN LIU, “Dynamic output feedback stabilization for nonlinear systems based on standard neural network models,” International Journal of neural systems, vol.16, no.4, pp.305-317, Aug. 2006.
[18] Liu Meiqin, “Discrete-time delayed standard neural network model and its application,” Science in China Series F - Information Sciences, vol 49, no.2, pp.137-154, Apr. 2006.
[19] LIU Mei-qin, “Stability analysis of neutral-type nonlinear delayed systems: An LMI approach,” Journal of Zhejiang University SCIENCE A, vol. 7, no. Suppl. II, pp. 237-244, Aug. 2006.
[20] LIU Mei-qin, “Interval standard neural network models for nonlinear systems,” Journal of Zhejiang University SCIENCE A, vol.7, no.4, pp.530-538, Apr. 2006.
[21] M. Liu, “Stability analysis of extended discrete-time BAM neural networks based on LMI approach”, Journal of Systems Engineering and Electronics, vol. 16, no. 3, pp. 588-594, Sep. 2005.
[22] Liu Meiqin, “Delayed standard neural network model and its application (Continuous-time case),” Acta Automatica Sinica (in Chinese), Vol. 31, No.5, pp. 750-758, Oct. 2005.

 

Conference List

[1] Yong Hu, Gangfeng Yan, ZHiyun Lin, and Meiqin Liu, “Time-scaling control and passive walking of bipeds with underactuation degree one,” 49th IEEE Conference on Decision and Control (CDC 2010), pp. 1116 - 1121, Atlanta, Georgia, China, December 15 – 17, 2009.
[2]Meiqin Liu, Meikang Qiu, Senlin Zhang, and Zhiyun Lin, “Robust H? fusion filtering for discrete-time nonlinear delayed systems with missing measurement,” Proceedings of the American Control Conference, Baltimore, Maryland, USA, pp. 6803-6808, June 30-July 2, 2010.
[3] Jiayin Li, Meikang Qiu, Jianwei Niu, Meiqin Liu, Bin Wang, and Jingtong Hu, “Impacts of inaccurate information on resource allocation for multi-core embedded systems,” 2010 IEEE 10th International Conference on Computer and Information Technology (CIT), pp. 2692 – 2697, Bradford, UK, 29 Jun. - 1 Jul., 2010.
[4] Meiqin Liu and X. Rong Li, “Optimal H? synchronization of general discrete-time delayed chaotic neural networks via dynamic output feedback,’’ 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference, pp. 6744-6749, Shanghai, China, December 16 – 18, 2009.
[5] Meiqin Liu and X. Rong Li, “Optimal H? filtering for nonlinear delayed systems with multiple sensors,’’ 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference, pp. 5466-5471, Shanghai, China, December 16 – 18, 2009.
[6] Meikang Qiu, Meiqin Liu, Fei Hu, Shaobo Liu, and Lingfeng Wang, “Energy Aware Loop Scheduling for High Performance Multi-Module Memory,” 6th IFIP International Conference on Network and Parallel Computing (NPC), pp. 16-22, Gold Coast, Australia, Oct. 19-21, 2009.
[7] Meiqin Liu, Senlin Zhang, and Dingding Zu, “Exponential synchronization of discrete-time chaotic delayed neural networks”, Proceeding of fifth international conference on Natural Computation (ICNC), vol.3, pp.510-514, Tianjian, China, August 14-16, 2009.
[8] Meiqin Liu and X. Rong Li, “Optimal robust H￥ fusion filters for time-delayed systems with multiple saturation nonlinear sensors,” Proceeding of 12th International Conference on Information Fusion, pp.1520-1527, Seattle, Washington, USA, July 6-9, 2009.
[9] Min Wu, Gangfeng Yan, Zhiyun Lin, and Meiqin Liu, “Characterization of backward reachable set and positive invariant set in polytopes,” Proceedings of the American Control Conference, St Louis, MO, USA, pp. 4351-4356, June 10-12, 2009.
[10] Meiqin Liu, Meikang Qiu, and Senlin Zhang, “Multi-sensor optimal H? fusion filters for a class of nonlinear intelligent systems with time delays,” 6th International Symposium on Neural Networks (ISNN 2009), Part I, pp.357-365, Wuhan, China, May 26-29, 2009.
[11] Meiqin Liu, Senlin Zhang, and Meikang Qiu, “H? synchronization of general discrete-time chaotic neural networks with time delays,” 6th International Symposium on Neural Networks (ISNN 2009), Part I, pp.366-374, Wuhan, China, May 26-29, 2009.
[12] M. Liu, S. Zhang, and G. Yan, “Standard neural network model for the feedback stabilization of intelligent systems,” Proceedings of 26th Chinese Control Conference, vol. 4, pp. 104-108, Zhangjiajie, P.R. China, July 26-31, 2007.
[13]Sida Lin, Meiqin Liu, Yanhui Shi et al., “LMI-based approach for global asymptotic stability analysis of discrete-time Cohen-Grossberg neural networks,” Proceedings of Fouth International Symposium on Neural Networks, June 2-June 5, 2007 (ISNN2007), Nanjing, China, Springer-Verlag Berlin Heidelberg: Lecture Notes in Computer Science, LNCS4491, pp. 972-980.
[14] M Q Liu, “Robust H? control for delayed nonlinear systems based on standard neural network models,” 3rd International Symposium on Neural Networks (ISNN 2006), Part 2, vol. 3972, pp. 904-910, Chengdu, China,May 28-31, 2006.
[15]Liu M Q, “A neural stabilizing control for discrete-time nonlinear systems by dynamic output feedback,” 2006 International Conference on Sensing, Computing and Automation, Chongqing, China, Vol. 13E, pp. 2961-2966, MAY 08-11, 2006.
[16]Minghui Jiang, Yi Shen, and Meiqin Liu, “Global exponential stability of non-autonomous neural networks with variable delay,” Proceedings of Second International Symposium on Neural Networks, May 30-June 1, 2005 (ISNN2005), Chongqing, China, Springer-Verlag Berlin Heidelberg: Lecture Notes in Computer Science, LNCS3496, pp.108-113.
[17]M. Q. Liu, S. L. Zhang, G. F. Yan, and S. G. Wang, “A new neural network model and its application,” International Conference on Systems, Man and Cybernetics (SMC), October 10-13, 2004, Hague, Netherlands, Vol. 6, pp.5864-5869.
[18]M. Q. Liu, G. F. Yan, and S. G. Wang, Neural-model based robust H∞ controllers for nonlinear systems: An BMI Approach. International Conference on Systems, Man and Cybernetics (SMC), October 10-13, 2004, Hague, Netherlands, Vol.6, pp. 5876-5881.