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Advances in the control of markov ju...

Vargas, Alessandro N.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in the control of markov jump linear systems with no mode observation/ by Alessandro N. Vargas, Eduardo F. Costa, Joao B.R. do Val.
作者:	Vargas, Alessandro N.
其他作者:	Costa, Eduardo F.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	v, 48 p. :ill. (some col.), digital ;24 cm.
內容註:	Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References.
Contained By:	Springer eBooks
標題:	Control theory. -
電子資源:	http://dx.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, 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

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

535880
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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