Many real-time systems such as smart grids, network enabled manufacturing, robot swarms and flocks, and automotive control systems are implemented as distributed, event-triggered control systems where the control loops are closed through a real-time communication network with limited resources. Such systems are referred to as network control systems (NCS) or cyber-physical systems. The interest for NCS is motivated by the many benefits they offer, such as the ease of maintenance and installation, large flexibility and the low cost. Adding resource-constrained communication network in the feedback control loop, however, brings challenging issues that have to be investigated before the above benefits can be realized.

The research team intends to develop novel sensors, advanced learning and intelligent control schemes, human-machine interaction methods, big data analytics, and security assurance schemes for NCS.