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A Nervousness Regulator Framework for Dynamic Hybrid Control Architectures

Abstract : 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.
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https://hal-uphf.archives-ouvertes.fr/hal-03411575
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Submitted on : Tuesday, November 2, 2021 - 1:51:07 PM
Last modification on : Wednesday, November 3, 2021 - 3:52:59 AM

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José-Fernando Jimenez Gordillo, Abdelghani Bekrar, Damien Trentesaux, Paulo Leitão. A Nervousness Regulator Framework for Dynamic Hybrid Control Architectures. Service Orientation in Holonic and Multi-Agent Manufacturing, 640, Springer International Publishing, pp.199-209, 2016, Studies in Computational Intelligence, ⟨10.1007/978-3-319-30337-6_19⟩. ⟨hal-03411575⟩

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