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Optimization and Control of Cyber-Physical Vehicle Systems
A cyber-physical system (CPS) is composed of tightly-integrated computation, communication and physical elements. Medical devices, buildings, mobile devices, robots, transportation and energy systems can benefit from CPS co-design and optimization techniques. Cyber-physical vehicle systems (CPVSs) a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610443/ https://www.ncbi.nlm.nih.gov/pubmed/26378541 http://dx.doi.org/10.3390/s150923020 |
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author | Bradley, Justin M. Atkins, Ella M. |
author_facet | Bradley, Justin M. Atkins, Ella M. |
author_sort | Bradley, Justin M. |
collection | PubMed |
description | A cyber-physical system (CPS) is composed of tightly-integrated computation, communication and physical elements. Medical devices, buildings, mobile devices, robots, transportation and energy systems can benefit from CPS co-design and optimization techniques. Cyber-physical vehicle systems (CPVSs) are rapidly advancing due to progress in real-time computing, control and artificial intelligence. Multidisciplinary or multi-objective design optimization maximizes CPS efficiency, capability and safety, while online regulation enables the vehicle to be responsive to disturbances, modeling errors and uncertainties. CPVS optimization occurs at design-time and at run-time. This paper surveys the run-time cooperative optimization or co-optimization of cyber and physical systems, which have historically been considered separately. A run-time CPVS is also cooperatively regulated or co-regulated when cyber and physical resources are utilized in a manner that is responsive to both cyber and physical system requirements. This paper surveys research that considers both cyber and physical resources in co-optimization and co-regulation schemes with applications to mobile robotic and vehicle systems. Time-varying sampling patterns, sensor scheduling, anytime control, feedback scheduling, task and motion planning and resource sharing are examined. |
format | Online Article Text |
id | pubmed-4610443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46104432015-10-26 Optimization and Control of Cyber-Physical Vehicle Systems Bradley, Justin M. Atkins, Ella M. Sensors (Basel) Article A cyber-physical system (CPS) is composed of tightly-integrated computation, communication and physical elements. Medical devices, buildings, mobile devices, robots, transportation and energy systems can benefit from CPS co-design and optimization techniques. Cyber-physical vehicle systems (CPVSs) are rapidly advancing due to progress in real-time computing, control and artificial intelligence. Multidisciplinary or multi-objective design optimization maximizes CPS efficiency, capability and safety, while online regulation enables the vehicle to be responsive to disturbances, modeling errors and uncertainties. CPVS optimization occurs at design-time and at run-time. This paper surveys the run-time cooperative optimization or co-optimization of cyber and physical systems, which have historically been considered separately. A run-time CPVS is also cooperatively regulated or co-regulated when cyber and physical resources are utilized in a manner that is responsive to both cyber and physical system requirements. This paper surveys research that considers both cyber and physical resources in co-optimization and co-regulation schemes with applications to mobile robotic and vehicle systems. Time-varying sampling patterns, sensor scheduling, anytime control, feedback scheduling, task and motion planning and resource sharing are examined. MDPI 2015-09-11 /pmc/articles/PMC4610443/ /pubmed/26378541 http://dx.doi.org/10.3390/s150923020 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bradley, Justin M. Atkins, Ella M. Optimization and Control of Cyber-Physical Vehicle Systems |
title | Optimization and Control of Cyber-Physical Vehicle Systems |
title_full | Optimization and Control of Cyber-Physical Vehicle Systems |
title_fullStr | Optimization and Control of Cyber-Physical Vehicle Systems |
title_full_unstemmed | Optimization and Control of Cyber-Physical Vehicle Systems |
title_short | Optimization and Control of Cyber-Physical Vehicle Systems |
title_sort | optimization and control of cyber-physical vehicle systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610443/ https://www.ncbi.nlm.nih.gov/pubmed/26378541 http://dx.doi.org/10.3390/s150923020 |
work_keys_str_mv | AT bradleyjustinm optimizationandcontrolofcyberphysicalvehiclesystems AT atkinsellam optimizationandcontrolofcyberphysicalvehiclesystems |