Filter Design for System Modeling, State Estimation and Fault Diagnosis by Ziyun Wang
The methods are more practical than the common probabilistic based algorithms, since these can be appiled in unknown but bounded noisy environment.
Filter Design for System Modeling, State Estimation and Fault Diagnosis
Filter Design for System Modeling, State Estimation and Fault Diagnosis
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.
Filter Design for System Modeling, State Estimation and Fault Diagnosis Summary
About Ziyun Wang
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.
Table 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
Additional information
NLS9781032355139
9781032355139
1032355131
Filter Design for System Modeling, State Estimation and Fault Diagnosis by Ziyun Wang
New
Paperback
Taylor & Francis Ltd
2022-11-09
225
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time