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

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Technology, Automation
Cover of the book Advances in the Control of Markov Jump Linear Systems with No Mode Observation by Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val, Springer International Publishing
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Author: Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val ISBN: 9783319398358
Publisher: Springer International Publishing Publication: May 27, 2016
Imprint: Springer Language: English
Author: Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val
ISBN: 9783319398358
Publisher: Springer International Publishing
Publication: May 27, 2016
Imprint: Springer
Language: English

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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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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