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

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Springer


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SpringerBriefs in Electrical and Computer Engineering

Paru le : 2016-05-27

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Description
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.
Pages
48 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2016-05-27
Marque
Springer
EAN papier
9783319398341
EAN EPUB
9783319398358

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
4
Taille du fichier
1106 Ko
Prix
52,74 €