國立虎尾科技大學 |

Advances in the Control of Markov Jump Linear Systems with No Mode Observation

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in the Control of Markov Jump Linear Systems with No Mode Observation/ by Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val.
Author:	Vargas, Alessandro N.
other author:	Costa, Eduardo F.
Description:	V, 48 p. 8 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-39835-8
ISBN:	9783319398358

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, João B. R. do Val. - 1st ed. 2016. - V, 48 p. 8 illus., 6 illus. in color.online resource. - SpringerBriefs in Control, Automation and Robotics,2192-6786. - SpringerBriefs in Control, Automation and Robotics,.

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

Standard No.: 10.1007/978-3-319-39835-8doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Advances in the Control of Markov Jump Linear Systems with No Mode Observation
LDR:02084nam a22003975i 4500 001 971110
003 DE-He213
005 20200706233728.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319398358 $9 978-3-319-39835-8
024 7 $a 10.1007/978-3-319-39835-8 $2 doi
035 $a 978-3-319-39835-8
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Vargas, Alessandro N. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1109125
245 1 0 $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.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a V, 48 p. 8 illus., 6 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Control, Automation and Robotics, $x 2192-6786
505 0 $a Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References.
520 $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.
650 0 $a Control engineering. $3 1249728
650 0 $a System theory. $3 566168
650 0 $a Probabilities. $3 527847
650 0 $a Operator theory. $3 527910
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Systems Theory, Control. $3 669337
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Operator Theory. $3 672127
700 1 $a Costa, Eduardo F. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1109126
700 1 $a do Val, João B. R. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1266627
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319398341
776 0 8 $i Printed edition: $z 9783319398365
830 0 $a SpringerBriefs in Control, Automation and Robotics, $x 2192-6786 $3 1254578
856 4 0 $u https://doi.org/10.1007/978-3-319-39835-8
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)