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Advances in the Control of Markov Jump Linear Systems with No Mode Observation
Vargas, Alessandro N.; Costa, Eduardo F.
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Description for Advances in the Control of Markov Jump Linear Systems with No Mode Observation
Paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 53 pages, 2 black & white illustrations, 6 colour illustrations, biography. BIC Classification: GPFC; PBKF; PBT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 3. Weight in Grams: 108.
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.
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.
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
53
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
48
Place of Publication
Cham, Switzerland
ISBN
9783319398341
SKU
V9783319398341
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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