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On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems
The last decade has witnessed an increased interest in physical systems controlled over wireless networks (networked control systems). These systems allow the computation of control signals via processors that are not attached to the physical systems, and the feedback loops are closed over wireless...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017462/ https://www.ncbi.nlm.nih.gov/pubmed/27537894 http://dx.doi.org/10.3390/s16081297 |
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author | Albattat, Ali Gruenwald, Benjamin C. Yucelen, Tansel |
author_facet | Albattat, Ali Gruenwald, Benjamin C. Yucelen, Tansel |
author_sort | Albattat, Ali |
collection | PubMed |
description | The last decade has witnessed an increased interest in physical systems controlled over wireless networks (networked control systems). These systems allow the computation of control signals via processors that are not attached to the physical systems, and the feedback loops are closed over wireless networks. The contribution of this paper is to design and analyze event-triggered decentralized and distributed adaptive control architectures for uncertain networked large-scale modular systems; that is, systems consist of physically-interconnected modules controlled over wireless networks. Specifically, the proposed adaptive architectures guarantee overall system stability while reducing wireless network utilization and achieving a given system performance in the presence of system uncertainties that can result from modeling and degraded modes of operation of the modules and their interconnections between each other. In addition to the theoretical findings including rigorous system stability and the boundedness analysis of the closed-loop dynamical system, as well as the characterization of the effect of user-defined event-triggering thresholds and the design parameters of the proposed adaptive architectures on the overall system performance, an illustrative numerical example is further provided to demonstrate the efficacy of the proposed decentralized and distributed control approaches. |
format | Online Article Text |
id | pubmed-5017462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50174622016-09-22 On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems Albattat, Ali Gruenwald, Benjamin C. Yucelen, Tansel Sensors (Basel) Article The last decade has witnessed an increased interest in physical systems controlled over wireless networks (networked control systems). These systems allow the computation of control signals via processors that are not attached to the physical systems, and the feedback loops are closed over wireless networks. The contribution of this paper is to design and analyze event-triggered decentralized and distributed adaptive control architectures for uncertain networked large-scale modular systems; that is, systems consist of physically-interconnected modules controlled over wireless networks. Specifically, the proposed adaptive architectures guarantee overall system stability while reducing wireless network utilization and achieving a given system performance in the presence of system uncertainties that can result from modeling and degraded modes of operation of the modules and their interconnections between each other. In addition to the theoretical findings including rigorous system stability and the boundedness analysis of the closed-loop dynamical system, as well as the characterization of the effect of user-defined event-triggering thresholds and the design parameters of the proposed adaptive architectures on the overall system performance, an illustrative numerical example is further provided to demonstrate the efficacy of the proposed decentralized and distributed control approaches. MDPI 2016-08-16 /pmc/articles/PMC5017462/ /pubmed/27537894 http://dx.doi.org/10.3390/s16081297 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Albattat, Ali Gruenwald, Benjamin C. Yucelen, Tansel On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title | On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title_full | On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title_fullStr | On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title_full_unstemmed | On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title_short | On Event-Triggered Adaptive Architectures for Decentralized and Distributed Control of Large-Scale Modular Systems |
title_sort | on event-triggered adaptive architectures for decentralized and distributed control of large-scale modular systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017462/ https://www.ncbi.nlm.nih.gov/pubmed/27537894 http://dx.doi.org/10.3390/s16081297 |
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