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 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.
- 2016 Springer
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