Robust Fault Diagnosis Algorithm for a Class of Nonlinear Systems
Joint Authors
Xu, Hai-gang
Liao, Yue-feng
Han, Xiao
Source
Journal of Control Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A kind of robust fault diagnosis algorithm to Lipschitz nonlinear system is proposed.
The novel disturbances constraint condition of the nonlinear system is derived by group algebra method, and the novel constraint condition can meet the system stability performance.
Besides, the defined robust performance index of fault diagnosis observer guarantees the robust.
Finally, the effectiveness of the algorithm proposed is proved in the simulations.
American Psychological Association (APA)
Xu, Hai-gang& Liao, Yue-feng& Han, Xiao. 2015. Robust Fault Diagnosis Algorithm for a Class of Nonlinear Systems. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067817
Modern Language Association (MLA)
Xu, Hai-gang…[et al.]. Robust Fault Diagnosis Algorithm for a Class of Nonlinear Systems. Journal of Control Science and Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1067817
American Medical Association (AMA)
Xu, Hai-gang& Liao, Yue-feng& Han, Xiao. Robust Fault Diagnosis Algorithm for a Class of Nonlinear Systems. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067817