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

1st ed. 2016

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

Book Details

Format Paperback / Softback

Book Series SpringerBriefs in Electrical and Computer Engineering

ISBN-10 3319398342

ISBN-13 9783319398341

Edition 1st ed. 2016

Publisher Springer International Publishing AG

Imprint Springer International Publishing AG

Country of Manufacture CH

Country of Publication GB

Publication Date Jun 3rd, 2016

Print length 48 Pages

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Ksh 8,100.00

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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).

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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