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02546nam a22005295i 4500 |
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978-3-319-39835-8 |
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DE-He213 |
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20160527152636.0 |
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160527s2016 gw | s |||| 0|eng d |
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|a 9783319398358
|9 978-3-319-39835-8
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|a 10.1007/978-3-319-39835-8
|2 doi
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|d GrThAP
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|a TJ212-225
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|a TJFM
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|a TEC004000
|2 bisacsh
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|a 629.8
|2 23
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|a Vargas, Alessandro N.
|e author.
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|a Advances in the Control of Markov Jump Linear Systems with No Mode Observation
|h [electronic resource] /
|c by Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a V, 48 p. 8 illus., 6 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Electrical and Computer Engineering,
|x 2191-8112
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|a Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References.
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|a 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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|a Engineering.
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|a Operator theory.
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|a System theory.
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|a Probabilities.
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|a Control engineering.
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|a Engineering.
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|a Control.
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|a Systems Theory, Control.
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|a Probability Theory and Stochastic Processes.
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|a Operator Theory.
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|a Costa, Eduardo F.
|e author.
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|a do Val, João B. R.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319398341
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|a SpringerBriefs in Electrical and Computer Engineering,
|x 2191-8112
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856 |
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|u http://dx.doi.org/10.1007/978-3-319-39835-8
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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