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Advances 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 by Alessandro N. Vargas
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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

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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.
Release date NZ
June 3rd, 2016
Pages
48
Edition
1st ed. 2016
Audience
  • Professional & Vocational
Illustrations
6 Illustrations, color; 2 Illustrations, black and white; V, 48 p. 8 illus., 6 illus. in color.
Dimensions
155x235x3
ISBN-13
9783319398341
Product ID
25479229

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