Robust Observer-based Fault Diagnosis For Nonlinear Systems Using Matlab by Jian Zhang

Robust Observer-based Fault Diagnosis For Nonlinear Systems Using Matlab

byJian Zhang, Akshya Kumar Swain, Sing Kiong Nguang

Paperback | May 30, 2018

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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 approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.

Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Jian Zhang received his PhD degree from the University of Auckland, New Zealand, in 2013. His main research interests include robust nonlinear control and fault diagnosis. He has published 14 refereed journal and conference papers on fault diagnosis, nonlinear filters and nonlinear system identification.Akshya Swain received his PhD de...
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Title:Robust Observer-based Fault Diagnosis For Nonlinear Systems Using MatlabFormat:PaperbackDimensions:224 pages, 23.5 X 15.5 X 0.02 inPublished:May 30, 2018Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319812564

ISBN - 13:9783319812564

Appropriate for ages: All ages

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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.