Abstract: Networked Control Systems (NCSs) are an integral part of modern day Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) applications. While the use of shared communication networks in NCSs offers flexible architecture and reduced installation and maintenance costs, the exchange of information between the plants and their controllers often suffers from network induced limitations and uncertainties. In this talk our focus is on the scheduling problem of limited bandwidth networks. We will present algorithms that allocate a shared network to the plants in an NCS such that fundamental system-theoretic properties of each plant are preserved under various classes of network induced uncertainties. The apparatuses for our analysis are switched systems theory and tools from discrete mathematics.

Speaker Bio: Atreyee Kundu is an INSPIRE Faculty Fellow hosted by the Department of Electrical Engineering, Indian Institute of Science Bangalore, India. She received her PhD in Systems and Control Engineering from the Indian Institute of Technology Bombay, India, and was a Postdoctoral researcher with the Eindhoven University of Technology, the Netherlands and the University of Lorraine, France. Her current research interests include switched and hybrid systems, networked control systems, learning aided control techniques, and applications of discrete mathematics to systems and control.