Neural network-based state estimation of nonlinear systems : application to fault detection and isolation /

Neural network-based state estimation of nonlinear systems : application to fault detection and isolation /

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Bibliographic Details
Imprint:	New York ; London : Springer, ©2010.
Description:	1 online resource (xix, 154 pages) : illustrations.
Language:	English
Series:	Lecture notes in control and information sciences, 0170-8643 ; 395 Lecture notes in control and information sciences ; 395.
Subject:	Neural networks (Computer science) Nonlinear systems. Fault location (Engineering) Control theory. Control theory. Fault location (Engineering) Neural networks (Computer science) Nonlinear systems.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11074612

Hidden Bibliographic Details
Other authors / contributors:	Talebi, H. A., 1965-
ISBN:	9781441914385 1441914382 9781441914378 1441914374 128000293X 9781280002939
Notes:	Includes bibliographical references and index. Print version record.
Summary:	Annotation "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.
Other form:	Print version: Neural network-based state estimation of nonlinear systems. New York ; London : Springer, ©2010 9781441914378 1441914374

Table of Contents:

Introduction
Observation (LPNN and NPNN)
Identification (LPNN and NPNN)
Actuator Fault Detection and Isolation: Experiments in Robotic Manipulators
A Robust Actuator Gain Fault Detection and Isolation Scheme
A Robust Sensor and Actuator Fault Detection and Estimation: Application to a Satellite's Attitude Control Subsystem
Preliminary Definitions
Neural Network Learning Rules for Theorem 6.1
Stability Conditions of Theorem 6.1-Part 2.