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Liuwei

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About

   He received the M.S. degree in control theory and control engineering from the University of Science and Technology Liaoning, Anshan, China, in 2006, and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2011. He is currently a Professor with the School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China. His main research interests include linear state estimation, multiple model state estimation, distributed state estimation, event-triggered state estimation and walking rehabilitation robot control.


Research Direction

State estimation theory, Kalman filtering, Distributed Kalman filtering, State estimation for systems with time-correlated noise, Event-Triggered state estimation,Networked control systems, Posture control walking assistance training robot etc.

Social Service Field

Education

1995-09 to 1999-06, Anshan Institute of Iron and Steel Technology, industrial automation, Bachelor

2003-09 to 2006-02, University of Science and Technology Liaoning, control theory and control engineering, M.S.

2006-03 to 2011-01, Northeastern University, control theory and control engineering, Ph.D.


Work Experience

2011-01 to 2019-09, Henan Polytechnic University, School of Electrical Engineering and Automation, Lecturer;

2019-10 to 2021-12, Henan Polytechnic University, School of Electrical Engineering and Automation, Associate Professor;

2022-02 to 2022-07, Zhejiang Gongshang University, School of Information and Electronic Engineering,Associate Professor;

2022-07 up to now, Zhejiang Gongshang University, School of Information and Electronic Engineering,Professor


Professional Services and Positions Held

Honors and Awards

Graduate Courses

Undergraduate Courses

Publications

[1] Liu Wei.  Event-triggered state estimation through confidence levelIEEE Transactions on Signal Processing 73,  pp. 1337-13502025.

[2] Liu Wei, Shi Peng, Pan Jeng-Shyang. State estimation for discrete-time Markov jump linear systems with time-correlated and mode-dependent measurement noiseAutomatica, 85, pp. 9-212017.Regular paper

[3] Liu Wei, Shi Peng, Wang Shouyu. Distributed Kalman filtering through trace proximity, IEEE Transactions on Automatic Control67, (9), pp. 4908-49152022. 

[4] Liu Wei. State estimation for discrete-time Markov jump linear systems with time-correlated measurement noiseAutomatica, 76, pp. 266-2762017.

[5] Liu Wei. Optimal filtering for discrete-time linear systems with time-correlated multiplicative measurement noisesIEEE Transactions on Automatic Control, 61, (7), pp. 1972-19782016. 

[6] Liu Wei, Shi Peng. Convergence of optimal linear estimator with multiplicative and time-correlated additive measurement noises, IEEE Transactions on Automatic Control, 64, (5), pp. 2190-21972019.

[7] Liu Wei, Shi Peng. Optimal linear filtering for networked control systems with time-correlated fading channelsAutomatica, 101, pp. 345-3532019.

[8] Liu Wei. Optimal Estimation for discrete-time linear systems in the presence of multiplicative and time-correlated additive measurement noisesIEEE Transactions on Signal Processing 63, (17), pp. 4583-45932015.

[9] Liu Wei, Wang Shuoyu,  Shi Peng. Nonlinear control design for walking assistance training robotic systemsInternational Journal of Robust and Nonlinear Control 33, (18), pp. 11180-111992023.

Scientific Research Projects

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