Journal of Robotics, Networking and Artificial Life

Volume 3, Issue 4, March 2017, Pages 236 - 239

Observer-based fault reconstruction for linear systems using adaptive sliding mode method

Authors
Hao Li, Ying Yang, Yifan Wei, Fengzhi Dai
Corresponding Author
Hao Li
Available Online 1 March 2017.
DOI
10.2991/jrnal.2017.3.4.6How to use a DOI?
Keywords
Fault reconstruction, adaptive sliding mode method, fault detection.
Abstract

This paper studies the fault reconstruction problem for the continuous linear time-invariant system. A new disturbance-decoupled fault reconstruction design is proposed by cooperating with the idea of the adaptive sliding mode method. The new scheme does not impose restrictions on both the upper boundary of faults and the derivative of faults. Furthermore, the decoupling technique is used to deal with the disturbance input. Finally, simulation results are undertaken to validate the effectiveness of the proposed method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
3 - 4
Pages
236 - 239
Publication Date
2017/03/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.3.4.6How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Hao Li
AU  - Ying Yang
AU  - Yifan Wei
AU  - Fengzhi Dai
PY  - 2017
DA  - 2017/03/01
TI  - Observer-based fault reconstruction for linear systems using adaptive sliding mode method
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 236
EP  - 239
VL  - 3
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.3.4.6
DO  - 10.2991/jrnal.2017.3.4.6
ID  - Li2017
ER  -