Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB(R)

This book introduces several observer-based methods, including:* the sliding-mode observer* the adaptive observer* the unknown-input observer and* the descriptor observer methodfor 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(R) and Simulink(R) 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(R) is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.