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Fault estimation for network systems...

Zhu, Jun-Wei.

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Fault estimation for network systems via intermediate estimator

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fault estimation for network systems via intermediate estimator/ by Jun-Wei Zhu, Xin Wang, Guang-Hong Yang.
Author:	Zhu, Jun-Wei.
other author:	Wang, Xin.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xv, 187 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Design of nominal intermediate estimator -- Chapter 3. Robust Fault Estimation (FE) for a Network of Dynamical Systems -- Chapter 4. FE based Tracking Control for Multi-Agent Systems (MASs) with undirected graph -- Chapter 5. FE based Tracking Control for MASs under directed graph -- Chapter 6. FE based Tracking Control for MASs with mismatched disturbances -- Chapter 7. Applications on Multi-Axis Motion Control Systems -- Chapter 8. Conclusions and Future Research Directions.
Contained By:	Springer Nature eBook
Subject:	Fault-tolerant computing. -
Online resource:	https://doi.org/10.1007/978-981-19-6321-6
ISBN:	9789811963216

Fault estimation for network systems via intermediate estimator
Zhu, Jun-Wei.

Fault estimation for network systems via intermediate estimator[electronic resource] /by Jun-Wei Zhu, Xin Wang, Guang-Hong Yang. - Singapore :Springer Nature Singapore :2022. - xv, 187 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Design of nominal intermediate estimator -- Chapter 3. Robust Fault Estimation (FE) for a Network of Dynamical Systems -- Chapter 4. FE based Tracking Control for Multi-Agent Systems (MASs) with undirected graph -- Chapter 5. FE based Tracking Control for MASs under directed graph -- Chapter 6. FE based Tracking Control for MASs with mismatched disturbances -- Chapter 7. Applications on Multi-Axis Motion Control Systems -- Chapter 8. Conclusions and Future Research Directions.

This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

ISBN: 9789811963216

Standard No.: 10.1007/978-981-19-6321-6doiSubjects--Topical Terms:

649213
Fault-tolerant computing.

LC Class. No.: QA76.9.F38 / Z48 2022

Dewey Class. No.: 004.2

Fault estimation for network systems via intermediate estimator
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505 0 $a Chapter 1. Introduction -- Chapter 2. Design of nominal intermediate estimator -- Chapter 3. Robust Fault Estimation (FE) for a Network of Dynamical Systems -- Chapter 4. FE based Tracking Control for Multi-Agent Systems (MASs) with undirected graph -- Chapter 5. FE based Tracking Control for MASs under directed graph -- Chapter 6. FE based Tracking Control for MASs with mismatched disturbances -- Chapter 7. Applications on Multi-Axis Motion Control Systems -- Chapter 8. Conclusions and Future Research Directions.
520 $a This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.
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