Lei Zou (邹磊)

Brief Introduction

Doctor Lei Zou received the B.Sc. degree in automation from Beijing Institute of Petrochemical Technology, Beijing, China, in 2008, the M.Sc. degree in control science and engineering from China University of Petroleum (Beijing Campus), Beijing, China, in 2011, and the Ph.D. degree from Harbin Institute of Technology, Harbin, China, in 2016. From October 2013 to October 2015, he was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, Uxbridge, United Kingdom. From 2016 to 2018, he was a Postdoctoral Research Fellow with the College of Electrical Engineering and Automation, Shandong University of Science and Technology, China.

Since 2019, he has been working as a Research Fellow with the Department of Computer Science, Brunel University London, Uxbridge, United Kingdom. His current research interests include control and filtering of networked systems, moving-horizon estimation, and state estimation subject to outliers. He has published twenty eight (34) papers in prestigious journals including Automatica and IEEE Transactions on Automatic Control.

Doctor Zou is currently serving as an Associate Editor for Neurocomputing and International Journal of Systems Science; a Member of IEEE and a Member of Chinese Association of Automation; and a very active reviewer for many international journals including IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Network and Learning Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, and IET Control Theory & Applications. He has served as a Guest Editor for the Special Issue on Filtering, Control and Fault Estimation for Networked Control Systems, Journal of Control Science and Engineering; an invited session organizer for the Invited Session on Protocol-based stochastic filtering and control, 36th Chinese Control Conference.

Education

• Ph.D. of Engineering July 2016 Harbin Institute of Technology

Harbin, China.

Speciality: Control Science and Engineering

Supervisor: Prof. Zidong Wang (IEEE Fellow), Prof. Huijun Gao (IEEE Fellow).

• Master of Engineering June 2011 China University of Petroleum - Beijing

Beijing, China.

Speciality: Control Science and Engineering.

Supervisor: Prof. Xin Zuo.

• Bachelor of Engineering June 2008 Beijing Institute of Petrochemical Technology

Beijing, China.

Speciality: Automation.

Brief Summary of Research Grants:

• 01/2018--12/2021: Principal Investigator, Recursive filtering for networked time-varying systems subject to communication protocols, funded by the National Natural Science Foundation of China under Grant 61703245.

• 09/2016--09/2018: Principal Investigator, Control and filtering problems for networked systems subject to communication protocols, funded by the China Postdoctoral Science Foundation under Grant 2016M600547.

• 07/2017--08/2018: Principal Investigator, Recursive state estimation for time-varying systems with communication constraints, funded by the Postdoctoral Special Innovation Foundation of Shandong under Grant 201701015.

• 09/2016--09/2018: Principal Investigator, State estimation for Communication-Based Train Control systems, funded by the Qingdao Postdoctoral Applied Research Foundation under Grant 2016117.

• 01/2018--12/2021: Main team member, Locating and fault diagnosis of mobile robots based on wireless sensor networks, funded by the National Natural Science Foundation of China under Grant 61703242.

• 01/2018--12/2021: Main team member, Fault diagnosis for a class of time-varying closed-loop systems, funded by the National Natural Science Foundation of China under Grant 61703244.

• 01/2018--12/2022: Main team member, Fault diagnosis for networked closed-loop systems with multiplicative noise, funded by the National Natural Science Foundation of China under Grant 61773400.

Selected Journal Publications:

Ph.D. dissertation:

On Control and Filtering of Networked Systems with Communication Protocols, Harbin Institute of Technology, 2016.

Selected International Journal Papers (Sorted by date):

1. Lei Zou, Zidong Wang* and Donghua Zhou, Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission, Automatica, vol. 120, art. no. 109154, 13 pages, Oct. 2020.

2. Lei Zou, Zidong Wang*, Jun Hu and Qing-long Han, Moving horizon estimation meets multi-sensor information fusion: development, opportunities and challenges, Information Fusion, vol. 60, Aug. 2020, pp. 1-10.

3. Lei Zou, Zidong Wang*, Jun Hu and Donghua Zhou, Moving horizon estimation with unknown inputs under dynamic quantization effects, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2020.2968975, Accepted for publication.

4. Lei Zou, Zidong Wang*, Qing-long Han and Donghua Zhou, Moving horizon estimation of networked nonlinear systems with random access protocol, IEEE Transactions on Systems, Man, and Cybernetics - Systems, DOI: 10.1109/TSMC.2019.2918002, Accepted for publication.

5. Lei Zou, Zidong Wang*, Qing-long Han and Donghua Zhou, Moving horizon estimation for networked time-delay systems under Round-Robin protocol, IEEE Transactions on Automatic Control, vol. 64, no. 12, Dec. 2019, pp. 5191-5198.

6. Lei Zou, Zidong Wang*, Qing-long Han and Donghua Zhou, Full information estimation for linear time-varying systems with Round-Robin protocol: a recursive filter approach, IEEE Transactions on Systems, Man, and Cybernetics - Systems, DOI: 10.1109/TSMC.2019.2907620, Accepted for publication.

7. Lei Zou and Zidong Wang*, Moving horizon estimation with multi-rate measurements and correlated noises, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.5193, Accepted for publication.

8. Lei Zou, Tao Wen, Zidong Wang*, Lei Chen and Clive Roberts, State estimation for communication-based train control systems with CSMA protocol, IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 3, Mar. 2019, pp. 843-854.

9. Yezheng Wang, Lei Zou* , Zhongyi Zhao, Xingzhen Bai, H-infinity fuzzy PID control for discrete time-delayed T-S fuzzy systems, Neurocomputing, vol. 332, Mar. 2019, pp. 91-99.

10. Lei Zou, Zidong Wang*, Qing-long Han and Donghua Zhou, Recursive filtering for time-varying systems with random access protocol, IEEE Transactions on Automatic Control, vol. 64, no. 2, pp. 720-727, Feb. 2019.

11. Tao Wen, Lei Zou*, Jinling Liang and Clive Roberts, Recursive filtering for communication-based train control systems with packet dropouts, Neurocomputing, vol. 275, Jan. 2018, pp. 948-957.

12. Lei Zou, Zidong Wang*, Qing-long Han and Donghua Zhou, Ultimate boundedness control for networked systems with Try-Once-Discard protocol and uniform quantization effects, IEEE Transactions on Automatic Control, vol. 62, no. 12, Dec. 2017, pp.~6582-6588.

13. Lei Zou, Zidong Wang*, Jun Hu and Huijun Gao, On H-infinity finite-horizon filtering under stochastic protocol: dealing with high-rate communication networks, IEEE Transactions on Automatic Control, vol. 62, no. 9, Sep. 2017, pp. 4884-4890.

14. Lei Zou, Zidong Wang*, Huijun Gao and Fuad E. Alsaadi, Finite-horizon H-infinity consensus control of time-varying multi-agent systems with stochastic communication protocol, IEEE Transactions on Cybernetics, vol. 47, no. 8, Aug. 2017, pp. 1830-1840.

15. Lei Zou, Zidong Wang*, Huijun Gao and Xiaohui Liu, State estimation for discrete-time dynamical networks with time-varying delays and stochastic disturbances under the Round-Robin protocol, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, May 2017, pp. 1139-1151.

16. Lei Zou, Zidong Wang* and Huijun Gao, Set-membership filtering for time-varying systems with mixed time-delays under Round-Robin and Weighted Try-Once-Discard protocols, Automatica, vol. 74, Dec. 2016, pp. 341-348.

17. Lei Zou, Zidong Wang* and Huijun Gao, Observer-based H-infinity control of networked systems with stochastic communication protocol: the finite-horizon case, Automatica, vol. 63, Jan. 2016, pp. 366-373.

18. Lei Zou, Zidong Wang*, Huijun Gao and Xiaohui Liu, Event-triggered state estimation for complex networks with mixed time delays via sampled data information: the continuous-time case, IEEE Transactions on Cybernetics, vol. 45, no. 12, Dec. 2015, pp. 2804-2815.

International Conference Papers:

1. Lei Zou*, Zidong Wang and Donghua Zhou, Finite-horizon H∞ state estimation for complex networks with random access protocol and uniform quantization effects, In: Proceedings of the 37th Chinese Control Conference (CCC), Wuhan, China, Jul. 2018, pp. 6271-6276.

2. Lei Zou*, Zidong Wang and Donghua Zhou, Finite-horizon H-infinity fault estimation for time-varying systems with random access protocol, In: Proceedings of the 10th IFAC IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Warsaw, Poland, Jul. 2018, pp.314-319.

3. Lei Zou*, Zidong Wang and Donghua Zhou, Finite-horizon H-infinity state estimation for complex networks with redundant channels, In: Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, Jul. 2017, pp. 7808-7813.

4. Lei Zou*, Zidong Wang, Hongli Dong and Derui Ding, State estimation for a class of nonlinear discrete-time complex networks subject to false data injection attacks, In: Proceedings of the 34th Chinese Control Conference (CCC), Hangzhou, China, Jul. 2015, pp. 1740-1745.

5. Lei Zou*, Zidong Wang and Lampros K. Stergioulas, State estimation for a class of complex networks with event-triggered transmission scheme, In: Proceedings of the 20th International Conference on Automation and Computing (ICAC), Cranfield, United Kingdom, Sep. 2014, pp. 289-294.

6. Lei Zou*, Zidong Wang, Derui Ding and Hong Qiao, Event-triggered state estimation for a class of nonlinear stochastic systems with mixed time delays, In: Proceedings of the 33rd Chinese Control Conference (CCC), Nanjing, China, Jul. 2014, pp. 5235-5240.

Links:

Researchgate: www.researchgate.net/profile/Lei_Zou10

ORCID: https://orcid.org/0000-0002-0409-7941

Publons: https://publons.com/researcher/B-4980-2013/