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59,80 €ISBN 978-3-8191-0166-3Softcover208 pages65 figures366 g24 x 17 cmEnglishThesis
August 2025
Minjie Zou
Total Inconsistency Management and Optimization in Model-Based Engineering of Industrial Automation Systems
Inconsistencies during the engineering process are common and critical. This work addresses the inconsistencies arising during the cross-disciplinary engineering of automated production systems, where models are used for mechanics, electrics/electronics, and control software. A workflow-oriented framework is developed to identify and handle semantic inconsistencies semi-automatically, by coupling models with domain ontologies. Furthermore, multi-fidelity optimization is proposed to efficiently optimize behavior problems. The feasibility and benefits of the framework are demonstrated through use cases from different automation industries.
Keywords: inconsistency management; model-based systems engineering; ontology reasoning; optimization; automation systems
Berichte aus dem Lehrstuhl für Automatisierung und Informationssysteme
Edited by Prof. Dr.-Ing. Birgit Vogel-Heuser, München
Volume 1
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Electronic publication (PDF): 978-3-8191-0241-7
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