Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications (Hardcover, 1st ed. 2023)

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This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H -optimization-based fault diagnosis, H -filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.

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Product Description

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H -optimization-based fault diagnosis, H -filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

November 2022

Availability

Expected to ship within 12 - 17 working days

First published

2023

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

406

Edition

1st ed. 2023

ISBN-13

978-981-19-5437-5

Barcode

9789811954375

Categories

LSN

981-19-5437-2



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