Advances in the Control of Markov Jump Linear Systems with No Mode Observation
1st ed. 2016
Book Details
Format
Paperback / Softback
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
Product Classification:
Cybernetics & systems theoryFunctional analysis & transformsProbability & statistics
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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