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Describing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systems

dc.contributor.authorRibeiro, Luis
dc.contributor.authorGomes, Luís
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionDEE2010-C1 Sistemas Digitais e Percepcionais
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2022-04-12T22:47:53Z
dc.date.available2022-04-12T22:47:53Z
dc.date.issued2021
dc.description.abstractThe description of structure and complex interactions in Multi-agent-based Industrial Cyber-physical (MAS-ICPS) systems has been elusively addressed in the literature. Existing works, grounded on model-based engineering, have been successful at characterizing and solving system integration problems. However, they fail to describe accurately the collective and dynamic execution behaviour of large and complex industrial systems, particularly in more discrete production domains, such as: automotive, home appliances, aerospace, food and beverages, etc. In these domains, the execution flow diverts dynamically due to production disturbances, custom orders, fluctuations in demand in mixed model production, faults, quality-control and product rework, etc. These dynamic conditions require re-allocation and reconfiguration of production resources, redirection of production flows, re-scheduling of orders, etc. A meta-model for describing the structure and complex interactions in MAS-ICPS is defined in this paper. This contribution goes beyond the State-Of-The-Art (SOTA) as the proposed meta-model describes structure, as many other literature contributions, but also describes the execution behaviour of arbitrarily complex interactions. The previous is achieved with the introduction of general execution flow control operators in the meta-model. These operators cover, among other aspects, delegation of the execution flow and dynamic decision making. Additionally, the contribution also goes beyond the SOTA by including validation mechanisms for the models generated by the meta-model. Finally, the contribution adds to the current literature by providing a meta-model focusing on production execution and not just on describing the structural connectivity aspects of ICPSs.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent16
dc.format.extent1900919
dc.identifier.doi10.1109/ACCESS.2021.3127344
dc.identifier.otherPURE: 42844494
dc.identifier.otherPURE UUID: 0bbd9c08-f095-47b4-8d4f-eaa0f985319f
dc.identifier.otherScopus: 85119421929
dc.identifier.otherWOS: 000720515000001
dc.identifier.urihttp://hdl.handle.net/10362/136325
dc.identifier.urlhttps://www.scopus.com/pages/publications/85119421929
dc.language.isoeng
dc.peerreviewedyes
dc.subjectcomplex interaction flows
dc.subjectIndustrial cyber-physical systems
dc.subjectmodeling
dc.subjectmultiagent systems
dc.subjectGeneral Computer Science
dc.subjectGeneral Materials Science
dc.subjectGeneral Engineering
dc.titleDescribing Structure and Complex Interactions in Multi-Agent-Based Industrial Cyber-Physical Systemsen
dc.typejournal article
degois.publication.firstPage153126
degois.publication.lastPage153141
degois.publication.titleIEEE Access
degois.publication.volume9
dspace.entity.typePublication
rcaap.rightsopenAccess

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