@inproceedings{ea80171f52fb425695c2dd4268ad8eed,
title = "Fault Detection for T-S Fuzzy Networked Control Systems with Signal to Noise Ratio Constrained Channels",
abstract = "This paper investigates fault detection for T-S fuzzy networked control systems with signal to noise ratio constrained channels. In order to overcome the unconstrained power distribution phenomenon, a parallel multi-input multi-output additive Gaussian white noise channel is used. For the purpose of detecting the fault, a robust fault detection filter is designed; then, a dynamic threshold based on the stochastic characteristics of channel noise is constructed, and a constant is introduced to reduce the conservatism of threshold; finally, a numerical example is given to illustrate the effectiveness of the proposed FD method.",
keywords = "Fault detection, Signal to noise ratio, T-S fuzzy, Threshold",
author = "Fumin Guo and Xuemei Ren",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2019 ; Conference date: 26-10-2019 Through 27-10-2019",
year = "2020",
doi = "10.1007/978-981-32-9682-4\_17",
language = "English",
isbn = "9789813296817",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "159--166",
editor = "Yingmin Jia and Junping Du and Weicun Zhang",
booktitle = "Proceedings of 2019 Chinese Intelligent Systems Conference - Volume I",
address = "Germany",
}