Professor Matthew Turner

 BEng, PhD, MIEEE
Professor in Cyber-Physical Systems

Research interests

  • Adaptive control systems and how they can be made robust and function in situations not originally envisaged
  • Anti-windup algorithms for systems with control signal constraints - retro fits to existing controllers to enable them to function well when actuator position/rate-limits are present
  • Absolute stabilty of systems containing static, isolated nonlinearities - especially efficient, convex algorithms for their analysis

More research

Accepting applications from PhD students.

Connect with Matthew

Research

Research groups

Research interests

  • Adaptive control systems and how they can be made robust and function in situations not originally envisaged
  • Anti-windup algorithms for systems with control signal constraints - retro fits to existing controllers to enable them to function well when actuator position/rate-limits are present
  • Absolute stabilty of systems containing static, isolated nonlinearities - especially efficient, convex algorithms for their analysis
  • The cross-over between control and artificial intelligence

Current research

Dr. Turner's research interests are currently focused on robust control, adaptive control and absolute stability analysis of nonlinear control systems, and the application of these topics to various physical systems. He has worked with various aerospace companies and institutions in the UK and elsewhere and has experience designing and implementing advanced control systems for a number of different aerospace systems. His research has been funded by both government agencies and industry. He is currently particularly interested in

  • Adaptive control systems and how they can be made robust and function in situations not originally envisaged
  • Anti-windup algorithms for systems with control signal constraints - retro fits to existing controllers to enable them to function well when actuator position/rate-limits are present
  • Absolute stabilty of systems containing static, isolated nonlinearities - especially efficient, convex algorithms for their analysis
  • The cross-over between control and artificial intelligence

Dr. Turner's up-to-date publications are best found via the Google Scholar link.

Research projects