@inproceedings{3e9b2cabc35948cc875e7b0b11f93f76,
title = "Filtering for Systems with Sensor Nonlinearities and Data Losses: An Interval Type-2 Fuzzy-Model-Based Method",
abstract = "This paper focuses on designing H∞ filter for networked nonlinear systems subject to sensor saturations and packet dropouts. To capture the system uncertainties effectively, an interval type-2 (IT2) fuzzy model approach is applied. When the sensor outputs are lost during the transmission through the network links, the redundant channels are adopted to reduce the negative effect of packet dropouts. An IT2 filter is designed, where the membership functions and the number of fuzzy rules need not as the same as those of the plant, such that the filtering error system is guaranteed to be stochastically stable with prescribed H∞ performance. Finally, an example is utilized to illustrate the effectiveness of the algorithm.",
keywords = "H filter, interval type-2 (IT2) fuzzy system, packet dropout, redundant channel, sensor saturation",
author = "Xiuying Li and Xianghua Ma and Fei Wang and Lei Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2019 ; Conference date: 21-11-2019 Through 24-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICIIBMS46890.2019.8991461",
language = "英语",
series = "ICIIBMS 2019 - 4th International Conference on Intelligent Informatics and Biomedical Sciences",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "368--373",
booktitle = "ICIIBMS 2019 - 4th International Conference on Intelligent Informatics and Biomedical Sciences",
address = "美国",
}