Fault Detection Filtering Design for Discrete-Time Interval Type-2 T-S Fuzzy Systems in Finite Frequency Domain
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 9132675 |
Pages (from-to) | 213-225 |
Journal / Publication | IEEE Transactions on Fuzzy Systems |
Volume | 29 |
Issue number | 2 |
Online published | 2 Jul 2020 |
Publication status | Published - Feb 2021 |
Link(s)
Abstract
This article focuses on the problem of fault detection filtering design for discrete-time interval type-2 Takagi-Sugeno (T-S) fuzzy systems in finite frequency domain. Considering the fact that external disturbances and faults are usually reside in finite frequency ranges, the finite frequency H∞ and H- performances are introduced to reflect the disturbance robustness and fault sensitiveness in finite frequency domain, respectively. Based on discrete-time Fourier transform and its properties, finite frequency performance analysis results are first obtained. Then, by exploiting the information on upper and lower membership functions, the membership-function-dependent filtering design conditions in the form of linear matrix inequalities are established for discrete-time interval type-2 T-S fuzzy systems in finite frequency domain. With the obtained filter, a fault detection scheme is then proposed and it is shown that the resulting fault detection system is asymptotically stable with prescribed finite frequency H∞ and H- performances. Finally, the effectiveness of the proposed method is validated by simulation studies.
Research Area(s)
- Discrete-time interval type-2 T-S fuzzy systems, fault detection, finite frequency performances, membership-function-dependent, nonparallel distributed compensation (non-PDC) filters
Citation Format(s)
Fault Detection Filtering Design for Discrete-Time Interval Type-2 T-S Fuzzy Systems in Finite Frequency Domain. / Wang, Meng; Feng, Gang; Qiu, Jianbin et al.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 2, 9132675, 02.2021, p. 213-225.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 2, 9132675, 02.2021, p. 213-225.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review