NDLI: Adaptive fault identification for a class of nonlinear dynamic systems

Content Provider	IEEE Xplore Digital Library
Author	Li-Bing Wu Dan Ye Xin-Gang Zhao
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Li-Bing Wu; Dan Ye) \|\| State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China (Xin-Gang Zhao)
Abstract	This paper is concerned with the diagnosis problem of actuator faults for a class of nonlinear systems. It is assumed that the upper bound of the Lipschtiz constant of the nonlinearity in the faulty system is unknown. Then, a new nonlinear observer for fault diagnosis based on an adaptive estimator is proposed. Moreover, by making use of the designed adaptive observer with on-line update control law without σ-modification condition to approximate the faulty system, it is proved that the estimate error of the adaptive control parameter, the output observation error and the error between the system fault and the corresponding estimate value are uniformly ultimately bounded via Lyapunov stability analysis. Finally, simulation examples are provided to illustrate the efficiency of the proposed fault identification approach.
Starting Page	1
Ending Page	6
File Size	151676
Page Count	6
File Format	PDF
ISBN	9781479945528
DOI	10.1109/ADPRL.2014.7010635
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Upper bound Adaptive systems Fault detection Observers Educational institutions Nonlinear systems
Content Type	Text
Resource Type	Article

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