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Advances in the control of markov ju...
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Costa, Eduardo F.
Advances in the control of markov jump linear systems with no mode observation
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in the control of markov jump linear systems with no mode observationby Alessandro N. Vargas, Eduardo F. Costa, Joao B.R. do Val.
Author:
Vargas, Alessandro N.
other author:
Costa, Eduardo F.
Published:
Cham :Springer International Publishing :2016.
Description:
v, 48 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Control theory.
Online resource:
http://dx.doi.org/10.1007/978-3-319-39835-8
ISBN:
9783319398358$q(electronic bk.)
Advances in the control of markov jump linear systems with no mode observation
Vargas, Alessandro N.
Advances in the control of markov jump linear systems with no mode observation
[electronic resource] /by Alessandro N. Vargas, Eduardo F. Costa, Joao B.R. do Val. - Cham :Springer International Publishing :2016. - v, 48 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..
Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References.
This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS) It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
ISBN: 9783319398358$q(electronic bk.)
Standard No.: 10.1007/978-3-319-39835-8doiSubjects--Topical Terms:
182248
Control theory.
LC Class. No.: QA402.3
Dewey Class. No.: 515.642
Advances in the control of markov jump linear systems with no mode observation
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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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Costa, Eduardo F.
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Val, Joao B.R. do.
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Engineering (Springer-11647)
based on 0 review(s)
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EB QA402.3 V297 2016
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-39835-8
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