Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783297486782201856 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5796335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hongjonathan introductiontostateestimationofhighratesystemdynamics AT laflammesimon introductiontostateestimationofhighratesystemdynamics AT dodsonjacob introductiontostateestimationofhighratesystemdynamics AT joycebryan introductiontostateestimationofhighratesystemdynamics |