Analysis of multi-agent systems is at the forefront of research in cyber-physical systems, smart grids, building systems and robotic systems, that is driving efforts to create autonomous, energy efficient and sustainable systems. Systems theory tools have been successfully used to provide analytical and computational solutions for network control design, consensus protocols, rendezvous problem, detection and pursuit evasion. An important aspect of multi-agent systems that impacts this research, is the constraint on information traded between agents due to limited resources, unreliability of sensors and actuators, corruption of data and even external malicious attacks. With information constraints in mind, it is important to understand the degradation and reliability of system performance for multi-agent networks. In this talk, I will discuss some results that provide performance limitations and capture network vulnerability of multi-agent systems with limited information. I will also discuss, how these results may be used to provide design guidelines for multi-agent systems, placement of sensors and actuators for optimal performance.
Dr. Diwadkar received his Bachelors in Aerospace Engineering from I.I.T. Bombay in 2006, and his Ph.D. in Electrical Engineering from Iowa State University in 2012. He then worked as a research consultant with VSI Aerospace Inc., an aerospace research company, in 2013. From 2014 to Spring 2015 he was a Post-doctoral Researcher with the Electrical Engineering Department at Iowa State University. His research interests include stochastic control of large-scale network systems, operator theoretic methods for nonlinear dynamical systems, multi-agent networks, building systems and environment control, energy systems, cyber-physical systems and smart grids.