Maiying Zhong,Ting Xue,Steven X. Ding,Donghua Zhou
Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
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- More about Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications
This book provides a comprehensive and systematic study on fault diagnosis for linear discrete-time-varying (LDTV) systems,with a focus on developing theory and methodologies. It covers various fault diagnosis techniques,including H∞-optimization-based, H∞-filtering-based, parity space-based, Krein space technique-aided, and their applications in linear/nonlinear processes. It is beneficial for researchers, engineers, and graduate students in control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.
Format: Hardback
Length: 406 pages
Publication date: 02 November 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of fault diagnosis for linear discrete-time-varying (LDTV) systems, emphasizing its applications in modern engineering processes. It places significant emphasis on the development of theoretical frameworks and methodologies, making it a valuable resource for researchers, engineers, and graduate students alike.
The book offers a thorough and systematic exploration of fault diagnosis techniques for LDTV systems. It covers a wide range of topics, including 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 practical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems.
By providing a detailed account of these techniques, the book equips readers with the knowledge and tools necessary to address fault diagnosis challenges in diverse fields. It serves as a valuable reference for researchers seeking to advance the state-of-the-art in fault diagnosis for LDTV systems, as well as engineers and graduate students seeking to apply these methodologies in their work.
The book's organization is well-structured, with each chapter presenting a clear and concise overview of the relevant topics. It includes numerous examples and case studies to illustrate the practical applications of the discussed fault diagnosis techniques, making the content accessible and engaging for a wide audience.
In conclusion, this book is a must-read for anyone interested in fault diagnosis for LDTV systems and their applications in modern engineering. Its comprehensive coverage, theoretical foundations, and practical insights make it an invaluable resource for researchers, engineers, and graduate students alike.
Weight: 805g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811954375
Edition number: 1st ed. 2023
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