Multi-agent system dynamics: Bifurcation and behavior of animal groups?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Systematic design of decentralized feedback for coordinated control of multi-agent systems has much to gain from the rigorous examination of the nonlinear dynamics of collective animal behavior. Animals in groups, from bird ocks to fish schools, employ decentralized strategies and have limitations on sensing, computation, and actuation. Yet, at the level of the group, they are known to manage a variety of challenging tasks quickly, accurately, robustly and adaptively in an uncertain and changing environment. In this paper we review recent work on models and methods for studying the mechanisms of collective migration and collective decision-making in high-performing animal groups. Through bifurcation analyses we prove systematically how behavior depends on parameters that model the system and the environment. These connections lay the foundations for proving systematic control design methodologies that endow engineered multi-agent systems with the remarkable features of animal group dynamics.

Original languageEnglish (US)
Title of host publication9th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2013 - Proceedings
Pages307-317
Number of pages11
EditionPART 1
DOIs
StatePublished - Oct 22 2013
Event9th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2013 - Toulouse, France
Duration: Sep 4 2013Sep 6 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume9
ISSN (Print)1474-6670

Other

Other9th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2013
CountryFrance
CityToulouse
Period9/4/139/6/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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