Advances in the control of Markov jump linear systems with no mode observation [electronic resource] / Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val.
Vargas, Alessandro N., author.; Costa, Eduardo F., author.; Val, João B. R. do, author.
2016
QA402.3
Available Online

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Title Advances in the control of Markov jump linear systems with no mode observation [electronic resource] / Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val.
Author Vargas, Alessandro N., author.
ISBN 9783319398358 (electronic book)
3319398350 (electronic book)
9783319398341
Published Switzerland : Springer, 2016.
Language English
Description 1 online resource (v, 48 pages) : illustrations.
Call Number QA402.3
Dewey Decimal Classification 515/.642
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
Added Author Costa, Eduardo F., author.
Val, João B. R. do, author.
Series SpringerBriefs in electrical and computer engineering. Control, automation and robotics.
Available in Other Form Advances in the Control of Markov Jump Linear Systems with No Mode Observation
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Preliminaries
Finite-Time Control Problem
Approximation of the Optimal Long-Run Average-Cost Control Problem
References.

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