| Advances in the Control of Markov Jump Linear Systems with No Mode Observation 2016 Edition Contributor(s): Vargas, Alessandro N. (Author), Costa, Eduardo F. (Author), Do Val, Joćo B. R. (Author) |
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ISBN: 3319398342 ISBN-13: 9783319398341 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: June 2016 |
| Additional Information |
| BISAC Categories: - Science | System Theory - Mathematics | Probability & Statistics - General - Technology & Engineering | Automation |
| Dewey: 515.724 |
| Series: Springerbriefs in Electrical and Computer Engineering |
| Physical Information: 0.12" H x 6.14" W x 9.21" (0.20 lbs) 48 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |