Prof Zhengtao Ding

Professor of Control Systems

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Biography

Prof. Zhengtao Ding graduated with BEng from Tsinghua University, Beijing, China. He then studied control engineering in the Control Systems Centre, UMIST, with MSc in systems and control and PhD in control systems. He joined as a lecturer in School of Engineering, University of Manchester in September 2003 after having been a lecturer in Ngee Ann Polytechnic, Singapore for ten years. He joined the Control Systems Centre, School of Electrical and Electronic Engineering in 2004, after the merger of the UMIST and Victoria University of Manchester, and he is now Professor of Control Systems in The University of Manchester. His research interests are mainly focused on nonlinear and adaptive control theory, and on distributed optimization and control of network-connected dynamic systems in more recent years. His research projects cover various industrial applications, such as distributed optimization in micro grids, formation control of mobile robots and UAVs etc., and his accumulative research funding as the PI is over £3 million. He leads the Sino-UK Joint Advanced Control Technology Laboratory in Manchester.  He has published over 200 research papers, and authored a book entitled “Nonlinear and Adaptive Control Systems” published by IET in 2013. He serves as an associate editor for IEEE Transactions on Automatic Control, IEEE Control Systems Letters, Transactions of Institute of Measurement and Control, Journal of Control Theory and Applications, International Journal of Computing and Automation, Unmanned Systems etc. 

Qualifications

BEng(Tsinghua), MSc(Manchester), PhD(Manchester), SMIEEE

Memberships of committees and professional bodies

Areas of expertise

Research Networks and Beacons

Related information

Activities

Activity: Publication peer-review and editorial workEditorial work

Activity: Publication peer-review and editorial workEditorial work

Activity: Publication peer-review and editorial workEditorial work

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Student theses

UoM administered thesis: Master of Philosophy

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