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Fault detection for quantized feedback systems with actuator faults

Authors: Fumin Guo; Xuemei Ren; Tianyi Zeng; Zhijun Li; Cunwu Han;

Fault detection for quantized feedback systems with actuator faults

Abstract

This paper investigates the fault detection problem of quantized feedback systems with actuator faults, and system outputs are respectively quantized by a uniform quantizer and a non-uniform quantizer. A new method is proposed to deal with quantization errors, that is, the quantization errors are considered as the unknown inputs of the residual generator. In order to detect the faults, an optimal residual generator is first designed to guarantee a suitable compromise between the sensitivity to faults and the robustness against disturbances as well as quantization errors, and then the residual signal is evaluated; finally, two different thresholds on the basis of the stochastic properties of quantization errors are designed for the two types of quantizers. A simulated example is given to illustrate the effectiveness of the proposed method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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