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Design Optimization of Cyber-Physical Systems by Partitioning and Coordination: A Study on Mechatronic Systems
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-5703-5923
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-4300-885X
2018 (English)In: Proceedings - 21st Euromicro Conference on Digital System Design, DSD 2018, IEEE, 2018, p. 304-311311, article id 8491832Conference paper, Published paper (Refereed)
Abstract [en]

Cyber-Physical Systems are inherently complex. Reducing the design complexity of such systems, is beneficial for scalability of the design. In this paper, a method for design optimization of these systems is proposed to facilitate the decomposition of the optimization problem for the whole system into smaller sub-problems and coordination of modular solutions to reach the desired optimum. The coordinated solutions are either identical to the optimal solution of the complex optimization problem for the system as a whole or within an acceptable error margin of it. To demonstrate the efficacy of the method, it is applied to a mechatronic case study. The results provide evidence for the potential feasibility of the methodology in terms of meeting the requirements on the solutions, while reducing the computational demand of the design process.

Place, publisher, year, edition, pages
IEEE, 2018. p. 304-311311, article id 8491832
Keywords [en]
cyber-physical systems, mechatronic systems, design optimization, design structure matrix
National Category
Other Mechanical Engineering
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-240617DOI: 10.1109/DSD.2018.00061Scopus ID: 2-s2.0-85056487947OAI: oai:DiVA.org:kth-240617DiVA, id: diva2:1273345
Conference
21st Euromicro Conference on Digital System Design, DSD 2018, Prague, Czech Republic, 29 August 2018 through 31 August 2018
Projects
oCPSXPRES
Funder
EU, Horizon 2020, 674875XPRES - Initiative for excellence in production research, 674875
Note

QC 20190117

Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2019-01-17Bibliographically approved

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Feng, LeiTörngren, Martin

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