Advances in the Control of Markov Jump Linear Systems with No Mode Observation
Alessandro N Vargas author Eduardo F Costa author João B R do Val author
Format:Paperback
Publisher:Springer International Publishing AG
Published:3rd Jun '16
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783319398341
Dimensions: unknown
Weight: unknown
48 pages
1st ed. 2016