Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB (R) (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Industrial Control
Release date:	May 2018
First published:	2016
Authors:	Jian Zhang • Akshya Kumar Swain • Sing Kiong Nguang
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	224
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81256-4
Categories:	Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-81256-4
Barcode:	9783319812564

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