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Real-time Individualization of Brain Computer Interfaces 

Dynamics, information and Control in Networks

Scalability of conventional control methods. Many of the classical approaches to controller synthesis do not scale well for large and complex systems. This is mainly due to computational complexity of and the lack of distributed structure in the resulting controllers. It is important that limitations on the information given and processed by sensors and actuators can be incorporated into the design procedure. However, such constraints may greatly complicate controller synthesis. Research is conducted that address these issues. 

H-infinity control of large-scale systems. Improve upon and speed up algorithms for synthesis of H-infinity controllers of large-scale or infinite-dimensional systems. 

Click here for thesis. 


Learning and Adaptation



FRTF01 Physiological models and computation

FRTN30 Network Dynamics

FRT125F Robust Control



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