Filter Design for System Modeling, State Estimation and Fault Diagnosi

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.

List of contents

1. Introduction 2. Parameter estimation algorithm based on zonotope-ellipsoid double filtering 3. State estimation based on zonotope 4. State estimation based on convex spacial structure 5. Fault diagnosis based on interval 6. Fault diagnosis method based on zonotopic Kalman filtering 7. Summary

About the author

Ziyun Wang is an associate professor at Jiangnan University, China. His research interests include fault detection, state estimation and filtering methods.
Yan Wang is a professor at Jiangnan University, China. Her research interests include fault detection and set-membership filtering methods.
Zhicheng Ji is a professor at Jiangnan University, China. His research interests include state estimation and control theory in practical engineering.

Summary

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.

Product details

• Authors: Zhicheng Ji, Yan Wang, Ziyun Wang, Ziyun Wang Wang
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 09.11.2022
• EAN: 9781032355122
• ISBN: 978-1-0-3235512-2
• No. of pages: 225
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Industrial Design / General, computer science, Automatic control engineering