Conference Article

·2022

A Swarm Model for Target Capturing in a Polygonal Strip

Antonio Bono , Luigi D’Alfonso , Giuseppe Fedele , Veysel Gazi YTU

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)

Abstract

This paper presents a methodology to generate proper state trajectories of a swarm of agents, described as a single integrator model. The main goal of the proposed methodology is to route the agents into planar polygons like areas, so that to accomplish for cooperative perimeter surveillance or target capturing tasks. In particular, the agents are driven into a polygonal strip defined by a given containment external convex polygonal region and an internal forbidden convex polygonal region around a prescribed target. The control law is designed looking at a circular strip, then a conversion from circular to polygonal areas is applied to achieve the prescribed goal. Steady-state conditions are analyzed and sufficient conditions derived in terms of the control law parameters. Simulation results put in light the main properties of the resulting kinematic state description.

Keywords

Swarm behaviour Regular polygon Integrator Kinematics Computer science Planar Double integrator State (computer science) Mathematical optimization Control theory (sociology) Control (management) Mathematics Algorithm Geometry Artificial intelligence Computer graphics (images)

Subject Areas

Distributed Control Multi-Agent Systems ·Computer Networks and Communications ·Physical Sciences
Control and Dynamics of Mobile Robots ·Control and Systems Engineering ·Physical Sciences
Robotic Path Planning Algorithms ·Computer Vision and Pattern Recognition ·Physical Sciences

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