Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®
This book introduces several observer-based methods, including: • the sliding-mode observer • the adaptive observer • the unknown-input observer and • the descriptor observer method for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different a...
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Series: | Advances in Industrial Control,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Detection and Isolation of Actuator Faults
- Detection and Isolation of Sensor Faults
- Robust Estimation of Actuator Faults
- Robust Estimation of Sensor Faults
- Simultaneous Estimation of Actuator and Sensor Faults Using SMO and AO
- Simultaneous Estimation of Actuator and Sensor Faults Using SMO and UIO
- Simultaneous Estimation of Actuator and Sensor Faults for Descriptor Systems
- Conclusions and Future Work
- Appendices: Solving Linear Matrix Inequality (LMI) Problems; Proof of Lemma 3.1.