Cooperative Target Defense under Communication and Sensing Constraints
Dipankar Maity, Arman Pourghorban
TL;DR
The work tackles cooperative target defense under partial sensing and unknown intruder dynamics by casting the problem as a decentralized nonlinear consensus among defenders. A finite-time, convexity-respecting consensus protocol is proposed, using only local communications and sensing to drive all defenders to a common capture point without requiring knowledge of the intruder's policy. A key contribution is a explicit sufficient condition involving defender speeds, sensing, and graph connectivity, plus an upper bound on the capture time that elucidates the sensing-communication tradeoff. Numerical simulations with four defenders validate the theory, quantify how sensing versus communication impacts capturability, and illustrate how parameter changes shift the safe/unsafe regions for intruder starting positions. The results provide practical guidelines for designing resilient, information-limited defender teams in pursuit-evasion settings.
Abstract
We consider a variant of the target defense problems where a group of defenders are tasked to simultaneously capture an intruder. The intruder's objective is to reach a target without being simultaneously captured by the defender team. Some of the defenders are sensing-limited and do not have any information regarding the intruder's position or velocity at any time. The defenders may communicate with each other using a connected communication graph. We propose a decentralized feedback strategy for the defenders, which transforms the simultaneous capture problem into a unique nonlinear consensus problem. We derive a sufficient condition for simultaneous capture in terms of the agents' speeds, sensing, and communication capabilities. The proposed decentralized controller is evaluated through extensive numerical simulations.
