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(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.