Neural Network-Based State Estimation of Nonlinear Systems Application to Fault Detection and Isolation /
This series aims to report new developments in the fields of control and information sciences <U+0013>quickly, informally and at a high level. The type material considered for publication includes: 1. Preliminary drafts of monographs and advanced textbooks 2. Lectures on a new field, or presen...
Main Authors: | , , , |
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Corporate Author: | |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer New York,
2010.
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Series: | Lecture Notes in Control and Information Sciences,
395 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-1438-5 |
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.