ENGLISH

Advances in the Control of Markov Jump Linear Systems with No Mode Observation

By Alessandro N. Vargas , Eduardo F. Costa , João B. R. do Val (auth.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-39834-1, 978-3-319-39835-8
DOI
10.1007/978-3-319-39835-8
Language
english
Format
PDF
Filesize
2 MB (1594486 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
V, 48\52
Time added
2016-07-20 04:00:00
Control; Probability Theory and Stochastic ProcessControl; Systems Theory

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.

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