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A nervousness regulator framework for dynamic hybrid control architectures
Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Dynamics Hybrid control architecture Multi-agent system Nervousness Switching
Contexto Educativo
Citação
Jimenez, Jose Fernando; Bekrar, Abdelghani; Trentesaux, Damien; Leitão, Paulo (2016). A nervousness regulator framework for dynamic hybrid control architectures. In International Workshop on Service Orientation in Holonic and Multi-agent Manufacturing, SOHOMA 2015. Cambridge. p. 199-209. ISBN 978.3319303352.