Overview
- Details new framework for modelling goals, functions of control systems
- Features applied modelling situations on the interaction of technical artefacts and humans
- Provides cross disciplinary coverage
Part of the book series: Design Research Foundations (DERF)
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Keywords
Table of contents (19 chapters)
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Background
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Preparatory Foundations
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The Concept of Function
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Concepts of Action
Authors and Affiliations
About the author
Morten Lind is Professor Emeritus at Department of Electrical and Photonics Engineering, DTU with more than 35 years of experience in the application of artificial intelligence and cognitive science research in automation and control of industrial processes. Prof. Lind has also a general interest in the foundations of engineering science. His main research contribution is the development of Multilevel Flow Modeling (MFM) which is a method for modeling goals and functions of complex automated processes within energy and chemical production. MFM has applications for knowledge based decision support in process and automation design, fault management, supervisory control and human machine interaction. Prof. Lind participated in several EU research programs within advanced information technology, in Nordic nuclear power research programs within automation and safety and in national funded basic research centers on Semiotics and Human Machine Interaction. He participated in the EcoGrid.dk project initiated by the Danish transmission system operator Energinet.dk. Prof. Lind had long term cooperation with the IFE Halden Reactor Project and has initiated research cooperation with Eldor Technology now: Kairos Technology, Norway and Danish Hydrocarbon Research and Technology Centre (DHRTC) now: Danish Offshore Technology Centre on MFM applications for decision support in the operation of oil and gas platforms in the North Sea.
Bibliographic Information
Book Title: Foundations for Functional Modeling of Technical Artefacts
Authors: Morten Lind
Series Title: Design Research Foundations
DOI: https://doi.org/10.1007/978-3-031-45918-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-45917-7Published: 08 December 2023
Softcover ISBN: 978-3-031-45920-7Published: 14 December 2024
eBook ISBN: 978-3-031-45918-4Published: 07 December 2023
Series ISSN: 2366-4622
Series E-ISSN: 2366-4630
Edition Number: 1
Number of Pages: XVII, 328
Number of Illustrations: 147 b/w illustrations, 7 illustrations in colour
Topics: Simulation and Modeling, Philosophy of Technology, Algorithm Analysis and Problem Complexity, Industrial Design