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

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À propos

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.


  • Auteur(s)

    Alessandro N. Vargas, Eduardo F. Costa, Joao B. R. Do Val

  • Éditeur

    Springer

  • Distributeur

    Numilog

  • Date de parution

    27/05/2016

  • EAN

    9783319398358

  • Disponibilité

    Disponible

  • Action copier/coller

    Non

  • Action imprimer

    Dans le cadre de la copie privée

  • Nb pages imprimables

    1

  • Partage

    Dans le cadre de la copie privée

  • Nb Partage

    6 appareils

  • Poids

    1 106 Ko

  • Diffuseur

    Numilog

  • Entrepôt

    Numilog

  • Support principal

    ebook (ePub)

  • Version ePub

Aucune information sur l'accessibilité n'est disponible

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