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Advances in the Control of Markov Jump Linear Systems with No Mode Observation
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Artikel-Nr:
9783319398341
Veröffentl:
2016
Einband:
Paperback
Erscheinungsdatum:
03.06.2016
Seiten:
56
Autor:
Alessandro N. Vargas
Gewicht:
102 g
Format:
235x155x4 mm
Serie:
SpringerBriefs in Control, Automation and Robotics
Sprache:
Englisch
Beschreibung:
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.
Broadens readers' understanding of Markov jump linear systems
Preliminaries.- Finite-Time Control Problem.- Approximation of the Optimal Long-Run Average-Cost Control Problem.- References.