| Description |
1 online resource (v, 48 pages) : illustrations (some color) |
| Series |
SpringerBriefs in electrical and computer engineering, Control, automation and robotics, 2191-8112 |
|
SpringerBriefs in electrical and computer engineering. Control, automation and robotics.
|
| Contents |
Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 7, 2016) |
| Subject |
Control theory.
|
|
Markov processes.
|
|
Markov Chains
|
|
Cybernetics & systems theory.
|
|
Probability & statistics.
|
|
Functional analysis & transforms.
|
|
Automatic control engineering.
|
|
MATHEMATICS -- Calculus.
|
|
MATHEMATICS -- Mathematical Analysis.
|
|
Control theory
|
|
Markov processes
|
| Form |
Electronic book
|
| Author |
Costa, Eduardo F., author
|
|
Val, João B. R. do, author
|
| ISBN |
9783319398358 |
|
3319398350 |
|
3319398342 |
|
9783319398341 |
|
