TY  - BOOK
AU  - Wang,Ziyun
AU  - Wang,Yan
AU  - Ji,Zhicheng
TI  - Filter design for system modeling, state estimation and fault diagnosis
SN  - 9781003327219
AV  - TA168 
PY  - 2023///
CY  - Boca Raton
PB  - CRC Press
KW  - Systems engineering
KW  - Mathematical models
KW  - Fault location (Engineering)
KW  - Kalman filtering
KW  - Observers (Control theory)
KW  - Parameter estimation
KW  - Polygons
KW  - Ellipsoid
KW  - TECHNOLOGY / Engineering / General
KW  - bisacsh
KW  - TECHNOLOGY / Industrial Design / General
KW  - TECHNOLOGY / Automation
N1  - Parameter estimation algorithm based on zonotope-ellipsoid double filtering -- State estimation based on zonotope -- State estimation based on convex spatial structure -- Fault diagnoisis based on interval -- Fault diagnosis based on zonotpic Kalman filtering
N2  - "This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters, and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this book are more practical than the common probabilistic based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis, and related fields"--
UR  - https://www.taylorfrancis.com/books/9781003327219
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -