Zhengtao Ding

Prof. Zhengtao Ding is a Chair of Control Systems and Head of the Control, Robotics and Communication Division at the University of Manchester. He holds a BEng from Tsinghua University and MSc/PhD from the University of Manchester. His research focuses on nonlinear and adaptive control, distributed optimization, machine learning applications in robotics and power systems, and disturbance rejection in dynamic systems. He has authored/co-authored three books and over 300 papers, and serves as Editor-in-Chief for Drones and Autonomous Vehicles and Specialty Chief Editor for Frontiers in Control Engineering.

• Education:
  • BEng, Tsinghua University (China)
  • MSc in Systems and Control, University of Manchester
  • PhD in Control Systems, University of Manchester

His research interests span networked control systems, distributed optimization, and AI-driven robotics. Recent work emphasizes multi-agent systems, consensus algorithms, and fault-tolerant control. Key contributions include fixed-time control strategies and Nash equilibrium-seeking mechanisms for heterogeneous systems.

Scientific awards include Fellowship at the Alan Turing Institute. He has supervised 32 students and led projects funded by EPSRC and industry collaborations. Active in editorial roles for journals like IEEE Transactions on Automatic Control and Neurocomputing.

Labs/Teams: Control Systems Centre, University of Manchester.