Supervised self-organization of large homogeneous swarms using ergodic projections of markov chains

Ishanu Chattopadhyay, Asok Ray

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

    1 Scopus citations

    Abstract

    This paper formulates a self-organization algorithm to addresses the problem of emergent behavior supervision in engineered swarms of arbitrary population size. Based on collections of independent identical finitestate agents, the algorithm is derived to compute necessary perturbations in the local agents' behavior, which guarantees convergence to the desired observed state of the swarm. A simulation example illustrates the underlying concept.

    Original languageEnglish (US)
    Title of host publication2009 American Control Conference, ACC 2009
    Pages2922-2927
    Number of pages6
    DOIs
    StatePublished - Nov 23 2009
    Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
    Duration: Jun 10 2009Jun 12 2009

    Other

    Other2009 American Control Conference, ACC 2009
    CountryUnited States
    CitySt. Louis, MO
    Period6/10/096/12/09

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

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  • Cite this

    Chattopadhyay, I., & Ray, A. (2009). Supervised self-organization of large homogeneous swarms using ergodic projections of markov chains. In 2009 American Control Conference, ACC 2009 (pp. 2922-2927). [5160372] https://doi.org/10.1109/ACC.2009.5160372