Number of the records: 1  

Towards probabilistic synchronisation of local controllers

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    SYSNO ASEP0460324
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleTowards probabilistic synchronisation of local controllers
    Author(s) Herzallah, R. (GB)
    Kárný, Miroslav (UTIA-B) RID, ORCID
    Number of authors2
    Source TitleInternational Journal of Systems Science. - : Taylor & Francis - ISSN 0020-7721
    Roč. 48, č. 3 (2017), s. 604-615
    Number of pages12 s.
    Publication formPrint - P
    Languageeng - English
    CountryGB - United Kingdom
    Keywordscooperative control ; optimal control ; complex systems ; stochastic systems ; fully probabilistic desing
    Subject RIVBB - Applied Statistics, Operational Research
    OECD categoryStatistics and probability
    R&D ProjectsGA13-13502S GA ČR - Czech Science Foundation (CSF)
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000385940700015
    EID SCOPUS84975302256
    DOI10.1080/00207721.2016.1197979
    AnnotationThe traditional use of global and centralised controlmethods fails for large, complex, noisy and highly connected systems, which typify many real-world industrial and commercial systems. This paper provides an efficient bottom-up design of distributed control in which many simple components communicate and cooperate to achieve a joint systemgoal. Each component acts individually so as to maximise personal utility whilst obtaining probabilistic information on the global system merely through local message-passing. This leads to an implied scalable and collective control strategy for complex dynamical systems,without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on a linearised version of coupled map lattice with spatio-temporal chaos.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2017
Number of the records: 1  

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