Robust Observer-based Fault Diagnosis for Nonlinear Systems Using Matlab With Online Files/Update ― With Online Files/Update

This book introduces several observer-based methods, including:

• the sliding-mode observer;
• the adaptive observer;
• the unknown-input observer; and
• the descriptor observer

for the problem of fault detection, isolation and estimation. The reader can compare and contrast these different approaches to this problem. 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 understand the material quickly and thoroughly. 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 examples give the book a real connection to problems of industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers to get what they need from the book without having to ingest more material than necessary and to improve readability the individual chapters are written to be semi-independent of each other.

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

Jian Zhang received the PhD degree from the University of Auckland, 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 nonlineaer system identification.

Akshya Swain received the PhD degree from the Department of Automatic Control and Systems Engineering of The University of Sheffield, United Kingdom in 1997. He has published over 140 referred journal and conference papers on nonlinear system identification, nonlinear control, control of wireless power transfer systems, wireless sensor networks and biomedical signal processing. He is currently on the Editorial board of two international journals .

Sing Kiong Nguang received the PhD degree from the Department of Electrical and Computer Engineering of the University of Newcastle, Callaghan, Australia, in 1992 and 1995, respectively. Currently, he is a Chair Professor at the Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand. He has published over 300 refereed journal and conference papers on nonlinear control design, nonlinear control systems, nonlinear time-delay systems, nonlinear sampled-data systems, biomedical systems modeling, fuzzy modeling and control, biological systems modeling and control, and food and bioproduct processing. He has/had served on the editorial board of a number of international journals. He is the Editor-in-Chief of the International Journal of Sensors, Wireless Communications and Control.