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.
2016
QA402.3
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Details
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.
ISBN
9783319398358 (electronic book)
3319398350 (electronic book)
9783319398341
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).
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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Table of Contents
Preliminaries
Finite-Time Control Problem
Approximation of the Optimal Long-Run Average-Cost Control Problem
References.
Finite-Time Control Problem
Approximation of the Optimal Long-Run Average-Cost Control Problem
References.