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

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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Detail Information
Series Title
SpringerBriefs in Electrical and Computer Engineering
Call Number
519.2 VAR a
Publisher
Cham, Switzerland : Springer Cham.,
Collation
-
Language
English
ISBN/ISSN
978-3-319-39835-8
Classification
519.2
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
Ed. 1
Subject(s)
Probability Theory
Operator Theory
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
umi
Source
https://link.springer.com/content/pdf/10.1007/978-3-319-39835-8.pdf?pdf=button
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