Strong controlled-invariance of behavioural nD systems

Detalhes bibliográficos
Autor(a) principal: Rocha, P
Data de Publicação: 2017
Outros Autores: Pereira, R
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/10216/110085
Resumo: In this paper, we give a stronger version of the notion of behavioural controlled-invariance introduced in a previous paperin the context of regular partial interconnections. In such interconnections, the variables are divided into two sets: the variables to-be-controlled and the variables on which it is allowed to enforce restrictions (control variables); moreover, regularity means that the restrictions of the controller do not overlap with the ones already implied by the laws of the original behaviour. A complete characterisation of strong controlled-invariance for nD behaviours is derived making use of a special controller behaviour known as the canonical controller. (c) 2017 Informa UK Limited, trading as Taylor & Francis Group
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spelling Strong controlled-invariance of behavioural nD systemsIn this paper, we give a stronger version of the notion of behavioural controlled-invariance introduced in a previous paperin the context of regular partial interconnections. In such interconnections, the variables are divided into two sets: the variables to-be-controlled and the variables on which it is allowed to enforce restrictions (control variables); moreover, regularity means that the restrictions of the controller do not overlap with the ones already implied by the laws of the original behaviour. A complete characterisation of strong controlled-invariance for nD behaviours is derived making use of a special controller behaviour known as the canonical controller. (c) 2017 Informa UK Limited, trading as Taylor & Francis Group2017-08-082017-08-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/110085eng0020-717910.1080/00207179.2017.1359674Rocha, PPereira, Rinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T18:22:27Zoai:repositorio-aberto.up.pt:10216/110085Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:46:43.167973Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Strong controlled-invariance of behavioural nD systems
title Strong controlled-invariance of behavioural nD systems
spellingShingle Strong controlled-invariance of behavioural nD systems
Rocha, P
title_short Strong controlled-invariance of behavioural nD systems
title_full Strong controlled-invariance of behavioural nD systems
title_fullStr Strong controlled-invariance of behavioural nD systems
title_full_unstemmed Strong controlled-invariance of behavioural nD systems
title_sort Strong controlled-invariance of behavioural nD systems
author Rocha, P
author_facet Rocha, P
Pereira, R
author_role author
author2 Pereira, R
author2_role author
dc.contributor.author.fl_str_mv Rocha, P
Pereira, R
description In this paper, we give a stronger version of the notion of behavioural controlled-invariance introduced in a previous paperin the context of regular partial interconnections. In such interconnections, the variables are divided into two sets: the variables to-be-controlled and the variables on which it is allowed to enforce restrictions (control variables); moreover, regularity means that the restrictions of the controller do not overlap with the ones already implied by the laws of the original behaviour. A complete characterisation of strong controlled-invariance for nD behaviours is derived making use of a special controller behaviour known as the canonical controller. (c) 2017 Informa UK Limited, trading as Taylor & Francis Group
publishDate 2017
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2017-08-08T00:00:00Z
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10.1080/00207179.2017.1359674
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