Team

  1. Rosition： Home > Team

Xiangbin Liu, Associate Professor, Ph. D Supervisor

2019-03-20 20:02:33

aba997ea8733a08c17442eae3773c1bc.jpg

Xiangbin Liu

  • Ph.D., Associate Professor, Ph.D. supervisor 

Personal Information

  • Associate Professor of Systems and Control， 

  • School of Electronics Information and Engineering，  

  • Beijing Jiaotong University.

Contact Information

  • West 501, No. 9 Teaching Building,

  • No.3, ShangYuanCun, Haidian District, Beijing, China.

  • Postal Code: 100044

  • Telephone:  +86-10-51684775

  • Email:   xbliu@bjtu.edu.cn

Education 

       He received his Ph.D. degree from Department of Control Science and Engineering at Zhejiang University, Hangzhou, China in 2009. His Ph.D. thesis is the  design of robust control and adaptive control of uncertain systems. Then he joined  Beijing Jiaotong University(BJTU), P.R. China. Now he is an associate professor of School of Electronics and Information Engineering, BJTU.

  • 2017.2-2017.3 Research in Department of Electrical and Electronic Engineering, University of Manchester, UK as a senior visiting scholar.

  • 2014.10-2015.10  Research in Department of Department of Electrical and Electronic Engineering, University of Rome Tor Vergata, Italy as a visiting scholar.

  • 2009.12-2011.12  Research in Advance Control Systems Lab,the University of Beijing Jiaotong University, Beijing, China as a post-doctor.

Research Interest

  • Control Theory: Nonlinear Systems Control, Robust Control, Adaptive Control and Learning Control;

  • Control Engineering: Magnetic Levitation Train, DC-DC Converter, Linear Motor, etal.

Teaching Activities 

  1. Automatic Control Principle (undergraduate students)

  2. Optimal Control(master students)

  3. Linear System Theory(master students)

 Selected Publications 

  1. Pengnian Chen and Xiangbin Liu, Repetitive learning control for a class of partially linearizable uncertain nonlinear systems, Automatica, 2017 Vol.85, 397-404.

  2. Xiangbin Liu and Xiaoli Qu, A hybrid guidance law of LOS acceleration feedback for missile against maneuvering targets, Journal of Control and Decision, 2017, 4(3): 168-178.X

  3. iangfei Deng, Xiangbin Liu,Adaptive internal model guidance law for weaving maneuvering target，ISA Transactions, 2017, Vol. 70(9):73-78.

  4. Gaiyan Hong，Xiangbin Liu，Hongye Su，Immersionand invariance adaptive control of a class of continuous stirred tank reactors，Control Theory and Technology，2015，13（1）：37-43.

  5. Luo Hengyu，Xu Hongze，Liu Xiangbin，Immersion and Invariance Based Robust Adaptive Control of High-Speed Train with Guaranteed Prescribed Performance Bounds，Asian Journal of Control，2015，17（6）：2263-2276.

  6. Xiangbin Liu, Romeo Ortega, Hongye Su and Jian Chu, On adaptive control of nonlinearly parameterized nonlinear systems: towards a constructive procedure, Systems & Control Letters, 60(1), pp. 36-43, 2011.

  7. Xiaoli Qu, Xiangbin Liu and Mingxuan Sun, Asymptotic attenuation of a class of nonlinear systems with unknown sinusoidal disturbance, Journal of Control Theory and Applications, vol. 8(4), pp. 509-514, 2010.

  8. Xiangbin Liu, Romeo Ortega, Hongye Su and Jian Chu, Immersion and invariance adaptive control of nonlinearly parameterized systems, IEEE Transactions on Automatic Control, 55(9), pp. 2209-2214,2010.

  9. Xiangbin Liu, Romeo Ortega, Hongye Su and Jian Chu, Identification of nonlinearly parameterized nonlinear models: application to mass balance systems, IEEE Conference on Decision and Control，pp.4682-4685, 2009.

  10. Xiangbin Liu, Hongye Su, Bin Yao and Jian Chu, Adaptive robust control of nonlinear systems with dynamic uncertainties, International Journal of Adaptive Control and Signal Processing, 23(4), pp.353-377, 2009.

  11. Xiangbin Liu, Hongye Su, Bin Yao, Jian Chu,Adaptive robust control of a class of uncertain nonlinear systems with unknown sinusoidal disturbances. CDC 2008,pp.2594-2599.


Research Projects 

  1. 2017.1-2020.12, Study on performance oriented adaptive learning control of disturbed/uncertain nonlinear systems and applications on high-speed train control systems(PI), Supported by NSFC;

  2. 2014.1-2018.12 Research on theory and application of integrated process and operation control based on dynamic optimization method，Supported by NSFC;

  3. 2011.1--2011.12 Data driven adaptive iterative learning control and its application in traffic system（PI), Supported by NSFC;

  4. Other projects as Principal Investigator: 3 national/provincial/ministerial/Industrial projects.


Honors and Awards

The Scientific and Technical Awards of Zhejiang Province in 2017: The Performance Based Analysis and Control of Uncertain Nonlinear System.


Recommend for you