An alignment strategy for evolution of multi-agent systems

Hossein Rastgoftar, Suhada Jayasuriya

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Developed in this paper is the notion that the collective behavior of swarms can be achieved without explicit peer-to-peer communication among agents. It is based on a recently proposed continuum framework for studying swarms where homogeneous maps are the key. The paper focuses on 2D evolution of a multi-agent system (MAS) that consists of N agents with Nl leaders at the two ends of m lines called leading segments, that are on the boundary of a moving convex domain It. Rest of the (N-Nl) agents, the followers, are distributed along the m leading segments while lying inside the convex domain It. Every follower i is initially located at the intersection of two line segments whose end points define four agents that are adjacent to i. Under this setup if the domain It is transformed under a homogenous mapping and if every follower agent moves in such a way to reach the point of intersection of the two line segments connecting the adjacent agents, then the final formation of the MAS will satisfy the same homogenous map. This alignment strategy has the distinct advantage that the followers do not need the exact positions of the adjacent local agents to stay aligned.

Original languageEnglish (US)
Article numberA13
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume137
Issue number2
DOIs
StatePublished - Feb 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'An alignment strategy for evolution of multi-agent systems'. Together they form a unique fingerprint.

Cite this