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Introduction to State Estimation of High-Rate System Dynamics

Engineering systems experiencing high-rate dynamic events, including airbags, debris detection, and active blast protection systems, could benefit from real-time observability for enhanced performance. However, the task of high-rate state estimation is challenging, in particular for real-time applic...

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Detalles Bibliográficos
Autores principales: Hong, Jonathan, Laflamme, Simon, Dodson, Jacob, Joyce, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796335/
https://www.ncbi.nlm.nih.gov/pubmed/29342855
http://dx.doi.org/10.3390/s18010217
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author Hong, Jonathan
Laflamme, Simon
Dodson, Jacob
Joyce, Bryan
author_facet Hong, Jonathan
Laflamme, Simon
Dodson, Jacob
Joyce, Bryan
author_sort Hong, Jonathan
collection PubMed
description Engineering systems experiencing high-rate dynamic events, including airbags, debris detection, and active blast protection systems, could benefit from real-time observability for enhanced performance. However, the task of high-rate state estimation is challenging, in particular for real-time applications where the rate of the observer’s convergence needs to be in the microsecond range. This paper identifies the challenges of state estimation of high-rate systems and discusses the fundamental characteristics of high-rate systems. A survey of applications and methods for estimators that have the potential to produce accurate estimations for a complex system experiencing highly dynamic events is presented. It is argued that adaptive observers are important to this research. In particular, adaptive data-driven observers are advantageous due to their adaptability and lack of dependence on the system model.
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spelling pubmed-57963352018-02-13 Introduction to State Estimation of High-Rate System Dynamics Hong, Jonathan Laflamme, Simon Dodson, Jacob Joyce, Bryan Sensors (Basel) Article Engineering systems experiencing high-rate dynamic events, including airbags, debris detection, and active blast protection systems, could benefit from real-time observability for enhanced performance. However, the task of high-rate state estimation is challenging, in particular for real-time applications where the rate of the observer’s convergence needs to be in the microsecond range. This paper identifies the challenges of state estimation of high-rate systems and discusses the fundamental characteristics of high-rate systems. A survey of applications and methods for estimators that have the potential to produce accurate estimations for a complex system experiencing highly dynamic events is presented. It is argued that adaptive observers are important to this research. In particular, adaptive data-driven observers are advantageous due to their adaptability and lack of dependence on the system model. MDPI 2018-01-13 /pmc/articles/PMC5796335/ /pubmed/29342855 http://dx.doi.org/10.3390/s18010217 Text en © 2018 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
Hong, Jonathan
Laflamme, Simon
Dodson, Jacob
Joyce, Bryan
Introduction to State Estimation of High-Rate System Dynamics
title Introduction to State Estimation of High-Rate System Dynamics
title_full Introduction to State Estimation of High-Rate System Dynamics
title_fullStr Introduction to State Estimation of High-Rate System Dynamics
title_full_unstemmed Introduction to State Estimation of High-Rate System Dynamics
title_short Introduction to State Estimation of High-Rate System Dynamics
title_sort introduction to state estimation of high-rate system dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796335/
https://www.ncbi.nlm.nih.gov/pubmed/29342855
http://dx.doi.org/10.3390/s18010217
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