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

Advances in the Control of Markov Jump Linear Systems with No Mode Observation: Preliminaries [Markov jump linear systems represent a class of stochastic systems able to represent processes subject to abrupt random variations. In this book, we present some recent advances for the control of such a class of systems, in particular when the controller does not have access to the Markovian mode. The book also presents a real-time application for direct current motors, illustrating the practical usefulness of Markov jump linear systems.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

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

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2016. As it is a brief the author retains copyright.
ISBN
978-3-319-39834-1
Pages
1 –5
DOI
10.1007/978-3-319-39835-8_1
Publisher site
See Chapter on Publisher Site

Abstract

[Markov jump linear systems represent a class of stochastic systems able to represent processes subject to abrupt random variations. In this book, we present some recent advances for the control of such a class of systems, in particular when the controller does not have access to the Markovian mode. The book also presents a real-time application for direct current motors, illustrating the practical usefulness of Markov jump linear systems.]

Published: May 28, 2016

Keywords: Control Problem; Markov State; Markovian Mode; Mode Observation; Homogeneous Markov Chain

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