Litcius/Paper detail

Fourier-Based Multi-Agent Formation Control to Track Evolving Closed Boundaries

Bin Zhang, Hui Zhi, Jose Guadalupe Romero, Luiza Labazanova, Anqing Duan, Xiang Li, David Navarro-Alarcón

2023IEEE Transactions on Circuits and Systems I Regular Papers14 citationsDOI

Abstract

The automatic monitoring/tracking of environmental boundaries by multi-agent systems is a fundamental problem that has many practical applications. In this paper, we address this problem with formation control techniques based on parame tric curves that represent the boundary’s feedback shape. For that, we approximate the curve with truncated Fourier series, whose finite coefficients are utilized to characterize the curve’s shape and to automatically distribute the agents along it. These feedback Fourier coefficients are exploited to design a new type of formation controller that drives the agents to form desired curves. A detailed stability analysis is provided for the proposed control methodology, considering both fixed and switching multi-agent topologies. The reported numerical simulation and experimental studies demonstrate the performance and feasibility of our new method to track closed boundaries of different shapes.

Topics & Concepts

Fourier seriesBoundary (topology)Computer scienceController (irrigation)Stability (learning theory)Track (disk drive)Tracking (education)Fourier analysisControl theory (sociology)Fourier transformMulti-agent systemNetwork topologyAlgorithmControl (management)Topology (electrical circuits)MathematicsMathematical analysisArtificial intelligenceMachine learningBiologyOperating systemCombinatoricsPedagogyPsychologyAgronomyDistributed Control Multi-Agent SystemsMathematical Biology Tumor GrowthStability and Controllability of Differential Equations