Control Systems
Our researchers in control systems analyze and design algorithms that shape the behaviour of dynamical systems, guiding them to optimal performance. What sets this field apart is its interdisciplinary nature, as our control systems researchers apply their expertise to various domains, including electrical, mechanical, chemical, biological, nanoengineering, and biomedical systems. Our department's focus goes beyond theoretical challenges, extending to the diverse applications of control systems research. Students engage with fundamental theoretical problems while exploring how control systems can be applied.
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