Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Fuzzy resilient energy-to-peak filtering for continuous-time nonlinear systems
Author: Chang, X.
Park, J.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2017; 25(6):1576-1588
Publisher: IEEE
Issue Date: 2017
ISSN: 1063-6706
Statement of
Xiao-Heng Chang, Ju H. Park, and Peng Shi
Abstract: The problem of resilient energy-to-peak filtering for a class of uncertain continuous-time nonlinear systems is investigated in this paper. A Takagi–Sugeno fuzzy model with normbounded uncertainties is used to represent the nonlinear plant. Attention is focused on the design of an energy-to-peak filter such that the filtering error system is asymptotically stable and the prescribed energy-to-peak filtering performance is guaranteed, where the designed filter is assumed to have additive gain variations. The proposed design is aimed at all filter matrices with gain variations, which improves the existing results on resilient energy-to-peak filtering for continuous-time systems. A simulation example is provided to show the effectiveness of the proposed methods.
Keywords: Continuous-time nonlinear systems; energy-topeak filtering; resilient; Takagi–Sugeno (T–S) fuzzy systems
Description: Date of publication September 21, 2016
Rights: © 2016 IEEE
DOI: 10.1109/TFUZZ.2016.2612302
Grant ID: 61104071
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.