Fault detection for discrete-time Lipschitz nonlinear systems with signal-to-noise ratio constrained channels

被引:17
作者
Guo, Fumin [1 ]
Ren, Xuemei [1 ]
Li, Zhijun [2 ]
Han, Cunwu [2 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] North China Univ Technol, Key Lab Fieldbus & Automat Technol Beijing, Beijing 100144, Peoples R China
基金
高等学校博士学科点专项科研基金; 北京市自然科学基金; 中国国家自然科学基金;
关键词
Fault detection; Lipschitz nonlinear systems; Signal-to-noise ratio; H_ /H-infinity; Threshold; DETECTION FILTER DESIGN; FEEDBACK-CONTROL; OBSERVER; SUBJECT; DIAGNOSIS;
D O I
10.1016/j.neucom.2016.02.048
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
In this paper, the problem of fault detection for discrete-time Lipschitz nonlinear systems with additive white Gaussian noise channels subject to signal-to-noise ratio constraints is investigated. An optimal residual generator based on the mixed H_ /H-infinity performance index is designed to generate the so-called residual signal, and the H_-index is used to measure the minimum effect of faults on the residual signal, while the influence of unknown disturbances and channel noise on the residual signal is maximized by the means of the H-infinity-index. Then, in order to detect the occurrence of faults, a norm-based residual evaluation function is provided, and a dynamic threshold including upper bounds on the modulus of the solution of Lipschitz nonlinear systems and the stochastic properties of channel noise is also constructed. Finally, a simulated example is presented to demonstrate the effectiveness of the proposed approach. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:317 / 325
页数:9
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