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 applicatio...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Vargas, Alessandro N. (Auteur), Costa, Eduardo F. (Auteur), do Val, João B. R. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2016.
Édition:1st ed. 2016.
Collection:SpringerBriefs in Control, Automation and Robotics,
Sujets:
Control engineering.
System theory.
Control theory.
Probabilities.
Operator theory.
Control and Systems Theory.
Systems Theory, Control .
Probability Theory.
Operator Theory.
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