A peak-to-peak filtering for continuous Takagi-Sugeno fuzzy systems by a local method
type: Item
instance of: scholarly article
title: A peak-to-peak filtering for continuous Takagi-Sugeno fuzzy systems by a local method
zbMATH Open document ID: 1471.93164
author: Yue Wu
author: Jiuxiang Dong
author: Tieshan Li
published in: Fuzzy Sets and Systems
publication date: 2021-06-24T00:00:00Z
review text: In this article, the local peak-to-peak filtering problem for a continuous T-S fuzzy system was investigated. The filtering error system was established in the first step. Then, a local filter design condition was proposed to bound the state of the filtering error system by an ellipsoid set. Thirdly, the peak-to-peak performance was analyzed so as to increase the disturbance attenuation ability of the filter. Furthermore, the information regarding the NMFs was fully utilized to relax the LMI conditions. Examples were provided to validate the efficiency of the proposed method.
reviewed by: Andrej V. Plotnikov
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 7362991
zbMATH Keywords: Takagi-Sugeno fuzzy system
zbMATH Keywords: filtering scheme
zbMATH Keywords: disturbance attenuation
zbMATH Keywords: peak-to-peak performance
MaRDI profile type: Publication
full work available at URL: j.fss.2020.02.008
OpenAlex ID: W3007311047
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DOI: 10.1016/J.FSS.2020.02.008
description: scientific article; zbMATH DE number 7362991