Abstract

Cooperative control of multi-agent systems has garnered significant attention across scientific communities for its diverse applications, including aerial vehicle formation for search and rescue, environmental monitoring, autonomous rendezvous and docking in space exploration, mapping and exploration of unknown environments by a swarm of mobile robots, coordinated optimal energy arrangement in smart grids, and precision agriculture. The overarching objective in these scenarios is to develop distributed control algorithms where each agent leverages both its local information and the information from other networked agents. However, sensing and actuation limitations, network malfunctions, communication latency, and other system-specific requirements pose significant challenges and add complexity to achieving collective decision-making. In this presentation, we introduce a novel distributed control and computationally efficient optimization framework tailored for multi-agent systems in space applications.

Bio

Himadri Basu is a postdoctoral research scholar at the Hybrid Systems Laboratory, University of California Santa Cruz, currently working on autonomous rendezvous & docking of spacecraft in in-orbit servicing applications. His research interests are in the broad areas of control theory, cyber-physical systems, hybrid systems, and coordinated control of multi-agent systems in space applications. He received his Ph.D. in Electrical and Computer Engineering from the University of New Hampshire in 2020. Prior to joining UCSC, he worked on the formation reconfiguration control problem of multi-satellite clusters in low-earth orbits at the University of Vermont, and stabilization of networked control systems under measurement intermittency at the University of Grenoble Alpes, France.