Neural Network-Based State Estimation of Nonlinear Systems
Application to Fault Detection and Isolation
Published on 14. December 2009
Book
Paperback/Softback
XIX, 154 pages
978-1-4419-1437-8 (ISBN)
Description
"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.
More details
Series
Edition
2010 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
100 s/w Abbildungen
XIX, 154 p. 100 illus.
Dimensions
Height: 237 mm
Width: 158 mm
Thickness: 15 mm
Weight
270 gr
ISBN-13
978-1-4419-1437-8 (9781441914378)
DOI
10.1007/978-1-4419-1438-5
Schweitzer Classification
Other editions
Additional editions
Heidar A. Talebi | Farzaneh Abdollahi | Rajni V. Patel
Neural Network-Based State Estimation of Nonlinear Systems
Application to Fault Detection and Isolation
E-Book
12/2009
Springer
€96.29
Available for download
Content
Neural Network-Based State Estimation Schemes.- Neural Network-Based System Identification Schemes.- An Actuator Fault Detection and Isolation Scheme: Experiments in Robotic Manipulators.- A Robust Actuator Gain Fault Detection and Isolation Scheme.- A Robust Sensor and Actuator Fault Detection and Estimation Approach.