Dr Anton Selivanov

Department of Automatic Control and Systems Engineering

Lecturer in Control and Systems Engineering

Dr Anton Selivanov
Profile picture of Dr Anton Selivanov
+44 114 222 5620

Full contact details

Dr Anton Selivanov
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
S1 3JD
2019 – present Lecturer, Department of Automatic Control & Systems EngineeringUniversity of Sheffield, UK.
2018 – 2019 Postdoc, KTH Royal Institute of Technology, Sweden (Supervisor: Karl Henrik Johansson).
2014 – 2018 Postdoc, Tel Aviv University, Israel (Supervisor: Emilia Fridman).
2011 – 2014 PhD in Discrete Mathematics and Mathematical Cybernetics, St. Petersburg University, Russia (Advisor: Alexander Fradkov, thesis: “Passification-based adaptive and robust control of dynamical networks with time-delays”).
2006 – 2011 Specialist degree in Applied Mathematics and Computer Science, St. Petersburg University, Russia (Advisor: Alexander Fradkov, thesis: “Synchronization algorithms for dynamical networks with delayed couplings”).
Research interests
  • Control theory
  • Distributed parameter systems
  • PDE-based analysis of multi-agent systems
  • Time-delay and networked control systems

My research is dedicated to robust control of dynamical systems described by partial differential equations and delay differential equations. I design stabilising controllers and study their robustness to various phenomena occurring in practice, such as input/output delays, external disturbances, measurement noise, parameter uncertainties, etc. The main research tools are Lyapunov functionals, linear matrix inequalities, and Fourier series. Application areas include swarm robotics, traffic flows, and nuclear fusion.


Journal articles


Conference proceedings papers



Spillover-free control of distributed parameter systems, Universities UK, 04/2024 - 01/2025, £25,438, as PI.

Teaching activities
  • ACS61010 Optimal Control (module leader)
  • ACS230 Control Systems Design and Analysis

Previously taught

  • ACS133 Physical Systems (MATLAB)

  • ACS6101 Foundations of Control Systems (MATLAB)

  • ACS6501 Foundations of Robotics (MATLAB)

PhD opportunities

If you are interested in pursuing a PhD under my supervision: 

If you have any questions, you are welcome to contact me by email. You could attach your CV, BSc and MSc transcripts, and MSc thesis to facilitate discussion.