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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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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