Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.
Original languageUnknown
Title of host publicationIEEE
Pages84-93
DOIs
Publication statusPublished - 1 Jan 2010
Event2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems -
Duration: 1 Jan 2010 → …

Conference

Conference2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Period1/01/10 → …

Cite this

@inproceedings{d10c93fdddd849cd9f310d9891e3db33,
title = "Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents",
abstract = "Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.",
author = "{Barata Oliveira}, {Jos{\'e} Ant{\'o}nio} and {DEE Group Author}",
year = "2010",
month = "1",
day = "1",
doi = "10.1109/SASO.2010.36",
language = "Unknown",
isbn = "978-1-4244-8537-6",
pages = "84--93",
booktitle = "IEEE",

}

Barata Oliveira, JA & DEE Group Author 2010, Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents. in IEEE. pp. 84-93, 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 1/01/10. https://doi.org/10.1109/SASO.2010.36

Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents. / Barata Oliveira, José António; DEE Group Author.

IEEE. 2010. p. 84-93.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.

AB - Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.

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