Application of LS_SVM and deconvolution method in fault diagnosis for discrete time-delay systems

Authors:
Yongqi Chen;Zhiguang Zhong
Affiliations:
Intelligence Science and Electromechanical Systems Laboratory, College of Science and Technology, Ningbo University, Ningbo, China;Intelligence Science and Electromechanical Systems Laboratory, College of Science and Technology, Ningbo University, Ningbo, China
Venue:
ICNC'09 Proceedings of the 5th international conference on Natural computation
Year:
2009

Citing 2
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Abstract

For discrete time-delay systems with unknown nonlinear fault, a fault observer is proposed based on least square support vector machines(LS-SVM) and deconvolution method. The proposed fault observer uses a LS_SVM regression model to estimate the nonlinear fault. The training samples of the LS_SVM regression model are the control vector sequence which is acquired from the discrete time-delay systems by deconvolution method. Stability of the observer is proved by Lyapunov function. Simulation experiments demonstrate the effectiveness of the proposed fault observer.