IEEE Transactions on Control of Network Systems, 2023 (SCI-Expanded)
This work describes a methodology to generate trajectories for a swarm of agents, modeled as single integrators, for achieving target capturing/enclosing and containment. The discussed method proposes a robust solution which relaxes the strong assumptions about the exact knowledge of the target information. In particular, each agent requires a rough estimation of the reference, with an a-priori known bounded error both on the position and the velocity. It is shown that the swarm can be properly guided to enter a given capturing region while remaining outside a defined distancing region around the target. Steady-state analysis for velocity consensus is also provided for the case in which the reference information is exactly known by the agents.