Linear Systems Control

Contributions to Networked and Event-Triggered Control of Linear Systems  eBooks & eLearning

Posted by Underaglassmoon at June 3, 2016
Contributions to Networked and Event-Triggered Control of Linear Systems

Contributions to Networked and Event-Triggered Control of Linear Systems
Springer | Control Engineering | June 29, 2016 | ISBN-10: 3319340808 | 212 pages | pdf | 7.23 mb

Authors: Guinaldo Losada, María
Nominated as an outstanding PhD thesis by the Control Engineering group of the Comité Español de Automática (CEA)
Describes novel control algorithms for dealing with network delays, packet losses and limited bandwidth
Includes details about software and applications tools

Generalized Optimal Control of Linear Systems with Distributed Parameters  eBooks & eLearning

Posted by insetes at Feb. 15, 2019
Generalized Optimal Control of Linear Systems with Distributed Parameters

Generalized Optimal Control of Linear Systems with Distributed Parameters By Sergei I. Lyashko (auth.)
2002 | 456 Pages | ISBN: 140200625X | PDF | 61 MB
Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches

Marcin Witczak, "Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches"
2014 | ISBN-10: 3319030132 | 230 pages | PDF | 8 MB
Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches (Repost)

Marcin Witczak, "Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches"
2013 | pages: 239 | ISBN: 3319030132 | PDF | 8,1 mb

Linear Systems Theory : Second Edition  eBooks & eLearning

Posted by readerXXI at March 4, 2019
Linear Systems Theory : Second Edition

Linear Systems Theory : Second Edition
by Joao P. Hespanha
English | 2018 | ISBN: 0691179573 | 349 Pages | PDF | 3.67 MB

The Mathematics of Networks of Linear Systems  eBooks & eLearning

Posted by ksveta6 at March 30, 2016
The Mathematics of Networks of Linear Systems

The Mathematics of Networks of Linear Systems (Universitext) by Paul Fuhrmann, Uwe Helmke
2015 | ISBN: 331916645X | English | 662 pages | EPUB | 10 MB
Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches [Repost]

Marcin Witczak - Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches
Published: 2013-12-30 | ISBN: 3319030132 | PDF | 230 pages | 8 MB

The Mathematics of Networks of Linear Systems (Repost)  eBooks & eLearning

Posted by nebulae at June 20, 2015
The Mathematics of Networks of Linear Systems (Repost)

Paul Fuhrmann, Uwe Helmke, "The Mathematics of Networks of Linear Systems"
English | 2015 | ISBN-10: 331916645X | 662 pages | pdf | 7 MB

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

Posted by AvaxGenius at May 11, 2018
Advances in the Control of Markov Jump Linear Systems with No Mode Observation

Advances in the Control of Markov Jump Linear Systems with No Mode Observation By Alessandro N. Vargas
English | PDF,EPUB | 2016 | 52 Pages | ISBN : 3319398342 | 2.91 MB

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.
Advances in the Control of Markov Jump Linear Systems with No Mode Observation (Repost)

Advances in the Control of Markov Jump Linear Systems with No Mode Observation By Alessandro N. Vargas
English | PDF,EPUB | 2016 | 52 Pages | ISBN : 3319398342 | 2.91 MB

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.