Robust observer-based fault diagnosis for nonlinear systems using MATLAB® [electronic resource] / Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang.
Zhang, Jian, author.; Swain, Akshya Kumar, author.; Nguang, Sing Kiong, author.
2016
TA169.6
Available Online

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Title Robust observer-based fault diagnosis for nonlinear systems using MATLAB® [electronic resource] / Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang.
Author Zhang, Jian, author.
ISBN 9783319323244 (electronic book)
3319323245 (electronic book)
9783319323237
Published Switzerland : Springer, 2016.
Language English
Description 1 online resource (xiii, 224 pages) : illustrations.
Call Number TA169.6
Dewey Decimal Classification 620/.004
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 6, 2016).
Added Author Swain, Akshya Kumar, author.
Nguang, Sing Kiong, author.
Series Advances in industrial control.
Available in Other Form Robust observer-based fault diagnosis for nonlinear systems using MATLAB.
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Record Appears in Online Resources > Ebooks
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Introduction
Detection and Isolation of Actuator Faults
Detection and Isolation of Sensor Faults
Robust Estimation of Actuator Faults
Robust Estimation of Sensor Faults
Simultaneous Estimation of Actuator and Sensor Faults Using SMO and AO
Simultaneous Estimation of Actuator and Sensor Faults Using SMO and UIO
Simultaneous Estimation of Actuator and Sensor Faults for Descriptor Systems
Conclusions and Future Work
Appendices: Solving Linear Matrix Inequality (LMI) Problems; Proof of Lemma 3.1.

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