Advances In The Control Of Markov Jump Linear Systems With No Mode Observation by Alessandro N. VargasAdvances In The Control Of Markov Jump Linear Systems With No Mode Observation by Alessandro N. Vargas

Advances In The Control Of Markov Jump Linear Systems With No Mode Observation

byAlessandro N. Vargas, Eduardo F. Costa, João B. R. Do Val

Paperback | June 3, 2016

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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.
Title:Advances In The Control Of Markov Jump Linear Systems With No Mode ObservationFormat:PaperbackProduct dimensions:48 pages, 23.5 × 15.5 × 0.02 inShipping dimensions:23.5 × 15.5 × 0.02 inPublished:June 3, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319398342

ISBN - 13:9783319398341

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Table of Contents

Preliminaries.- Finite-Time Control Problem.- Approximation of the Optimal Long-Run Average-Cost Control Problem.- References.