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    A nervousness regulator framework for dynamic hybrid control architectures

    A nervousness regulator framework for dynamic hybrid control architectures

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    Dynamic hybrid control architectures are a powerful paradigm that addresses the challenges of achieving both performance optimality and operations reactivity in discrete systems. This approach presents a dynamic mechanism that changes the control solution subject to continuous environment changes. However, these changes might cause nervousness behaviour and the system might fail to reach a stabilized-state. This paper proposes a framework of a nervousness regulator that handles the nervousness behaviour based on the defined nervousness-state. An example of this regulator mechanism is applied to an emulation of a flexible manufacturing system located at the University of Valenciennes. The results show the need for a nervousness mechanism in dynamic hybrid control architectures and explore the idea of setting the regulator mechanism according to the nervousness behaviour state. ; info:eu-repo/semantics/publishedVersion

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    Titel :

    A nervousness regulator framework for dynamic hybrid control architectures

    Beteiligte:
    Jimenez, Jose Fernando (Autor:in) / Bekrar, Abdelghani (Autor:in) / Trentesaux, Damien (Autor:in) / Leitão, Paulo (Autor:in)
    Erscheinungsdatum :

    2016-01-01

    DOI :

    https://doi.org/10.1007/978-3-319-30337-6_19

    Medientyp :

    Aufsatz (Konferenz)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Dynamics , Hybrid control architecture , Multi-agent system , Nervousness , Switching

    Klassifikation :

    DDC:    629

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