Control Systems

Control systems research is concerned with the analysis and design of algorithms to influence the behaviour of dynamical systems, causing them to perform in a desirable and optimal manner. Our control systems researchers apply their knowledge to electrical, mechanical, chemical, biological, nanoengineering, and biomedical systems, making this a very interdisciplinary field. Control systems research in the Department of Electrical and Computer Engineering focuses on both fundamental theoretical problems, as well as a wide range of application uses.

 

Theoretically-oriented research:

  • mathematical system theory
  • optimal control
  • fault detection and fault tolerant control
  • nonlinear control and observer design
  • networked control systems
  • multirate control systems
  • control of distributed parameter systems
  • sampled-data nonlinear control systems
  • system identification and process control
  • teleoperation control¬†

Application-oriented research:

  • monitoring and control of wide-area power systems
  • machine condition monitoring of steam turbine engines
  • nonlinear control of power converters
  • nonlinear control of biomedical systems
  • decentralized control and fault detection of cogeneration systems
  • nonlinear control of active magnetic bearings and self-bearing motors
  • unmanned rotary-wing aerial vehicles
  • GPS-aided inertial navigation and nonlinear control
  • medical robotics