Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®  
Springer | Control Engineering | May 29 2016 | ISBN-10: 3319323237 | 224 pages | pdf | 11.9 mb
                                                

Authors: Zhang, Jian, Swain, Akshya Kumar, Nguang, Sing Kiong
Serves as a self-contained treatment with detailed proofs, allowing readers to easily understand the use of robust observers in fault diagnosis
Presents industrial applications in a real-world context, with examples of systems, including satellites, robot arms and aircraft
Offers MATLAB® and Simulink® files for download, which will aid the reader in reproducing and assimilating examples and methods

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® 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 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® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Number of Illustrations and Tables
2 b/w illustrations, 42 illustrations in colour
Topics
Control
Industrial Chemistry / Chemical Engineering
Aerospace Technology and Astronautics
Robotics and Automation

本帖隐藏的内容

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB.pdf (11.9 MB, 需要: 5 个论坛币)

2016-6-12 18:25:57 上传

需要: 5 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Nonlinear Diagnosis nonlinea Nonline Systems understand industrial detailed examples readers

kankan

igs816 发表于 2016-6-12 18:26
Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®  
Springer | Contr ...

好书赞一赞

好书，支持一下

xian kankanla

谢谢楼主

igs816 发表于 2016-6-12 18:26
Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®  
Springer | Contr ...

赞一个

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB_2016