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