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            Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

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            Contributor(s)
            Carreira, Paulo (editor)
            Amaral, Vasco (editor)
            Vangheluwe, Hans (editor)
            Language
            English
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            Abstract
            This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/200641
            Keywords
            Software Engineering; Cyber-physical systems, IoT; Special Purpose and Application-Based Systems; Computer Applications; Computer-Aided Engineering (CAD, CAE) and Design; Open Access; Embedded and cyber-physical systems; Software design engineering; Model-driven software engineering; Modelica; Performance Analysis; Design Languages; System Description Languages; System and Modeling; DEVS; Statecharts; Petri Nets; Multi-Paradigm Modeling; AADL; Concurrency Modeling; Electrical engineering; Cybernetics & systems theory; Expert systems / knowledge-based systems; Information technology: general issues; Computer-aided design (CAD); thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics; thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGC Computer-aided design (CAD)
            DOI
            10.1007/978-3-030-43946-0
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2020
            Imprint
            Springer
            Pages
            285
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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