Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique

Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to st...

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Bibliographic Details
Main Authors:	Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
Format:	Default Conference proceeding
Published:	2011
Subjects:	Mechanical engineering not elsewhere classified Optimum sensor selection Modern control design EMS systems Monte Carlo Genetic algorithms Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/9258
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id	rr-article-9556400
record_format	Figshare
spelling	rr-article-95564002011-01-01T00:00:00Z Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique Konstantinos Michail (7122557) Argyrios C. Zolotas (7122554) Roger Goodall (1250520) Mechanical engineering not elsewhere classified Optimum sensor selection Modern control design EMS systems Monte Carlo Genetic algorithms Mechanical Engineering not elsewhere classified Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to structured uncertainties. The framework combines modern control design methods, Monte Carlo techniques and genetic algorithms. Without losing generality its efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations. 2011-01-01T00:00:00Z Text Conference contribution 2134/9258 https://figshare.com/articles/conference_contribution/Simulation-based_optimum_sensor_selection_design_for_an_uncertain_EMS_system_via_Monte-Carlo_technique/9556400 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Optimum sensor selection Modern control design EMS systems Monte Carlo Genetic algorithms Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Optimum sensor selection Modern control design EMS systems Monte Carlo Genetic algorithms Mechanical Engineering not elsewhere classified Konstantinos Michail Argyrios C. Zolotas Roger Goodall Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
description	Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to structured uncertainties. The framework combines modern control design methods, Monte Carlo techniques and genetic algorithms. Without losing generality its efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.
format	Default Conference proceeding
author	Konstantinos Michail Argyrios C. Zolotas Roger Goodall
author_facet	Konstantinos Michail Argyrios C. Zolotas Roger Goodall
author_sort	Konstantinos Michail (7122557)
title	Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
title_short	Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
title_full	Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
title_fullStr	Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
title_full_unstemmed	Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
title_sort	simulation-based optimum sensor selection design for an uncertain ems system via monte-carlo technique
publishDate	2011
url	https://hdl.handle.net/2134/9258
_version_	1797740672301662208

Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique

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