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
Find Researchers in Control Systems