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Vargas / Costa / Do Val

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

Springer International Publishing

ISBN 978-3-319-39835-8

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Bibliografische Daten

eBook. PDF

2016

V, 48 p. 8 illus., 6 illus. in color..

In englischer Sprache

Umfang: 48 S.

Verlag: Springer International Publishing

ISBN: 978-3-319-39835-8

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: SpringerBriefs in Control, Automation and Robotics SpringerBriefs in Electrical and Computer Engineering

Produktbeschreibung

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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