@inproceedings{9d81f1e82f064f21965f33a74a692dce,
title = "Fault detection for logarithmic quantized feedback control systems",
abstract = "In this paper, the fault detection problem for a class of discrete-time quantized feedback control systems with logarithmic quantizers is investigated. A new method is proposed to handle the quantization error, i.e., the quantization error is considered as the unknown input of the residual generation. First, an optimal residual generation is designed based on H∞/H∞ performance index. Then, a norm-based residual evaluation is provided, and a threshold is achieved by making use of mathematical expectation and variance of the residual evaluation. Finally, the false alarm rate of the designed threshold is guaranteed to be below a given level. A numerical simulation is presented to illustrate the effectiveness of the main results.",
keywords = "Fault Detection, Quantization Error, Residual Generation, Threshold",
author = "Fumin Guo and Xuemei Ren and Zhijun Li and Cunwu Han",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260609",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6187--6191",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}