Advances in the Control of Markov Jump Linear Systems with No Mode Observation
Seiten
2016
|
1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-39834-1 (ISBN)
Springer International Publishing (Verlag)
978-3-319-39834-1 (ISBN)
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.
Preliminaries.- Finite-Time Control Problem.- Approximation of the Optimal Long-Run Average-Cost Control Problem.- References.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | SpringerBriefs in Control, Automation and Robotics | SpringerBriefs in Electrical and Computer Engineering |
| Zusatzinfo | V, 48 p. 8 illus., 6 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Control • control systems • Engineering • Example Application • Markov Processes • operator theory • optimal control • Probability theory and stochastic processes • stochastic control • Systems Theory, Control |
| ISBN-10 | 3-319-39834-2 / 3319398342 |
| ISBN-13 | 978-3-319-39834-1 / 9783319398341 |
| Zustand | Neuware |
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