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Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB (R) (Hardcover, 1st ed. 2016)
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Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB (R) (Hardcover, 1st ed. 2016)
Series: Advances in Industrial Control
Expected to ship within 12 - 17 working days
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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, HY
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.
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