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Event-based fractional order control()
The present study provides a generalization of event-based control to the field of fractional calculus, combining the benefits brought by the two approaches into an industrial-suitable control strategy. During recent years, control applications based on fractional order differintegral operators have...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474247/ https://www.ncbi.nlm.nih.gov/pubmed/32922986 http://dx.doi.org/10.1016/j.jare.2020.06.024 |
_version_ | 1783579309506560000 |
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author | Birs, Isabela Nascu, Ioan Ionescu, Clara Muresan, Cristina |
author_facet | Birs, Isabela Nascu, Ioan Ionescu, Clara Muresan, Cristina |
author_sort | Birs, Isabela |
collection | PubMed |
description | The present study provides a generalization of event-based control to the field of fractional calculus, combining the benefits brought by the two approaches into an industrial-suitable control strategy. During recent years, control applications based on fractional order differintegral operators have gained more popularity due to their proven superior performance when compared to classical, integer order, control strategies. However, the current industrial setting is not yet prepared to fully adapt to complex fractional order control implementations that require hefty computational resources; needing highly-efficient methods with minimum control effort. The solution to this particular problem lies in combining benefits of event-based control such as resource optimization and bandwidth allocation with the superior performance of fractional order control. Theoretical and implementation aspects are developed in order to provide a generalization of event-based control into the fractional calculus field. Different numerical examples validate the proposed methodology, providing a useful tool, especially for industrial applications where the event-based control is most needed. Several event-based fractional order implementation possibilities are explored, the final result being an event-based fractional order control methodology. |
format | Online Article Text |
id | pubmed-7474247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74742472020-09-11 Event-based fractional order control() Birs, Isabela Nascu, Ioan Ionescu, Clara Muresan, Cristina J Adv Res Article The present study provides a generalization of event-based control to the field of fractional calculus, combining the benefits brought by the two approaches into an industrial-suitable control strategy. During recent years, control applications based on fractional order differintegral operators have gained more popularity due to their proven superior performance when compared to classical, integer order, control strategies. However, the current industrial setting is not yet prepared to fully adapt to complex fractional order control implementations that require hefty computational resources; needing highly-efficient methods with minimum control effort. The solution to this particular problem lies in combining benefits of event-based control such as resource optimization and bandwidth allocation with the superior performance of fractional order control. Theoretical and implementation aspects are developed in order to provide a generalization of event-based control into the fractional calculus field. Different numerical examples validate the proposed methodology, providing a useful tool, especially for industrial applications where the event-based control is most needed. Several event-based fractional order implementation possibilities are explored, the final result being an event-based fractional order control methodology. Elsevier 2020-07-03 /pmc/articles/PMC7474247/ /pubmed/32922986 http://dx.doi.org/10.1016/j.jare.2020.06.024 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Birs, Isabela Nascu, Ioan Ionescu, Clara Muresan, Cristina Event-based fractional order control() |
title | Event-based fractional order control() |
title_full | Event-based fractional order control() |
title_fullStr | Event-based fractional order control() |
title_full_unstemmed | Event-based fractional order control() |
title_short | Event-based fractional order control() |
title_sort | event-based fractional order control() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474247/ https://www.ncbi.nlm.nih.gov/pubmed/32922986 http://dx.doi.org/10.1016/j.jare.2020.06.024 |
work_keys_str_mv | AT birsisabela eventbasedfractionalordercontrol AT nascuioan eventbasedfractionalordercontrol AT ionescuclara eventbasedfractionalordercontrol AT muresancristina eventbasedfractionalordercontrol |