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 were initially focused on nonlinear and adaptive control theory, and more recently are focused on distributed optimization and control of network-connected dynamic systems, distributed learning and AI applications. His research projects cover various industrial applications, such as distributed optimization in micro grids, formation control of mobile robots and UAVs etc., He has published over 300 research papers, and authored/co-authored three books, including a book entitled “Nonlinear and Adaptive Control Systems” published by IET in 2013. He is a fellow of The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. He serves as the Editor-in-Chief for Drones and Autonomous Vehicles, and the Specialty Chief Editor for Nonlinear Control for Frontiers in Control Engineering, and he also serves as, or has been, an associate editor for IEEE Transactions on Automatic Control, IEEE Control Systems Letters, IEEE Transactions on Circuit and Systems II, Journal of Franklin Institute, International Journal of System Sciences, Transactions of Institute of Measurement and Control, Journal of Control Theory and Applications, International Journal of Computing and Automation, Unmanned Systems and several other journals. 

• IEEE

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

• Nonlinear control systems
• Adaptive control systems
• Distributed optimisation and game theory
• Distributed machine learning
• Control of network connected dynamic systems
• Control and AI applications to robotics and power systems 
• Disturbance rejection and output regulation with applications
• Dynamic systems with delay

• Control Systems Centre

Potential PhD students who are interested in nonlinear and adaptive cotnrol or other areas listed in Dr Ding's research interests are welcome to contact Prof Zhengtao Ding for discussions.

• https://personalpages.manchester.ac.uk/staff/Zhengtao.Ding/