Neural Network-Based State Estimation of Nonlinear Systems - Application to Fault Detection and Isolation

"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.

List of contents

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.

Summary

"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.

Product details

• Authors: Farzane Abdollahi, Farzaneh Abdollahi, Khashayar Khorasani, Rajni Patel, Rajni V Patel, Rajni V. Patel, Heidar Talebi, Heidar A Talebi, Heidar A. Talebi
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 28.07.2009
• EAN: 9781441914378
• ISBN: 978-1-4419-1437-8
• No. of pages: 154
• Dimensions: 155 mm x 9 mm x 235 mm
• Weight: 277 g
• Illustrations: XIX, 154 p. 100 illus.
• Series: Lecture Notes in Control and Information Sciences; Lecture Notes in Control and Information Sciences; Lecture Notes in Control and I
• Subjects: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering; Social sciences, law, business > Media, communication > Book trade, library system