This project aims at developing analytical and computational tools for the cooperative control of multi-vehicle systems along trajectories in obstacle environments. The applications are numerous, ranging from coordinated military attacks (hitting targets, refueling, retreating to safe zones, etc.) to firefighting and various civilian security operations. The work concentrates on two main cooperative control strategies: optimal finding (mobile sensor networks, surveillance) and optimal delivering (target servicing or spatial queuing). The goal is to integrate robust feedback control methods into the design and construction of multi-vehicle systems to ensure operational networks despite disturbances, communication latency and packet loss, obstacles in an uncertain environment, and model uncertainties.
