Advances in the control of markov jump linear systems with no mode observation

This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for...

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Detalles Bibliográficos
Autores principales: Vargas, Alessandro N, Costa, Eduardo F, do Val, João B R
Lenguaje:eng
Publicado: Springer 2016
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-39835-8
http://cds.cern.ch/record/2157601
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author Vargas, Alessandro N
Costa, Eduardo F
do Val, João B R
author_facet Vargas, Alessandro N
Costa, Eduardo F
do Val, João B R
author_sort Vargas, Alessandro N
collection CERN
description This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
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spelling cern-21576012021-04-21T19:41:12Zdoi:10.1007/978-3-319-39835-8http://cds.cern.ch/record/2157601engVargas, Alessandro NCosta, Eduardo Fdo Val, João B RAdvances in the control of markov jump linear systems with no mode observationEngineeringThis brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.Springeroai:cds.cern.ch:21576012016
spellingShingle Engineering
Vargas, Alessandro N
Costa, Eduardo F
do Val, João B R
Advances in the control of markov jump linear systems with no mode observation
title Advances in the control of markov jump linear systems with no mode observation
title_full Advances in the control of markov jump linear systems with no mode observation
title_fullStr Advances in the control of markov jump linear systems with no mode observation
title_full_unstemmed Advances in the control of markov jump linear systems with no mode observation
title_short Advances in the control of markov jump linear systems with no mode observation
title_sort advances in the control of markov jump linear systems with no mode observation
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-39835-8
http://cds.cern.ch/record/2157601
work_keys_str_mv AT vargasalessandron advancesinthecontrolofmarkovjumplinearsystemswithnomodeobservation
AT costaeduardof advancesinthecontrolofmarkovjumplinearsystemswithnomodeobservation
AT dovaljoaobr advancesinthecontrolofmarkovjumplinearsystemswithnomodeobservation

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