In DSLab, we explore intricate intelligent systems demanding adeptness in adaptation, identification, and control. Our ongoing efforts encompass the safety of energy storage systems such as in electric vehicles, physics-inspired data-driven modeling and control of batteries, and co-design of Cyber-Physical Systems, spanning wide-area control of automotive to power systems.

Additionally, our research extends to the domain of transportation systems. We are developing highly efficient motion planning algorithms tailored for multi-vehicle scenarios. Our past initiatives include developing intelligent transportation and collision avoidance systems and maneuver optimization of an AC75 sailboat competing in America’s Cup.