Finite time max-consensus for simultaneous target interception in switching graph topologies
Kushal P. Singh, Aditya K. Rao, Twinkle Tripathy
TL;DR
The paper addresses simultaneous interception of a stationary target by a group of heterogeneous pursuers modeled as unicycles under switching communication topologies. It introduces a max-consensus–based distributed guidance law that aligns each pursuer's estimated time-to-interception $\tilde{t}_i$ to a common value, with the leader being the maximum $\tilde{t}$ and capable of switching during the mission; pursuers follow trajectories formed by straight lines and circular arcs. Theoretical results establish finite-time consensus and interception for both static graphs and switching graphs, including dwell-time bounds when the leader loses global reachability, and allow for dynamic changes in the leader. Numerical simulations validate the finite-time convergence and demonstrate robust performance under various topology switching scenarios and node changes.
Abstract
In this paper, we propose a distributed guidance law for the simultaneous interception of a stationary target. For a group of `n' heterogeneous pursuers, the proposed guidance law establishes the necessary conditions on static graphs that ensure simultaneous target interception, regardless of the initial conditions of the pursuers. Building on these results, we also establish the necessary conditions for achieving simultaneous interception in switching graph topologies as well. The major highlight of the work is that the target interception occurs in finite time for both static and switching graph topologies. We demonstrate all of these results through numerical simulations.
