Fuzzy Filter-Based FDD Design for Non-Gaussian Stochastic Distribution Processes Using T-S Fuzzy Modeling
Joint Authors
Yi, Yang
Zhao, Yue-Yue
Cao, Song-Yin
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper studies the fuzzy modeling problem and the fault detection and diagnosis (FDD) algorithm for non-Gaussian stochastic distribution systems based on the nonlinear fuzzy filter design.
Following spline function approximation for output probability density functions (PDFs), the T-S fuzzy model is built as a nonlinear identifier to describe the dynamic relationship between the control input and the weight vector.
By combining the designed filter and the threshold value, the fault in T-S weight model can be detected and the stability of error system can also be guaranteed.
Moreover, the novel adaptive fuzzy filter based on stochastic distribution function is designed to estimate the size of system fault.
Finally, the simulation results can well verify the effectiveness of the proposed algorithm for the constant fault and the time-varying fault, respectively.
American Psychological Association (APA)
Yi, Yang& Zhao, Yue-Yue& Cao, Song-Yin. 2013. Fuzzy Filter-Based FDD Design for Non-Gaussian Stochastic Distribution Processes Using T-S Fuzzy Modeling. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1008551
Modern Language Association (MLA)
Yi, Yang…[et al.]. Fuzzy Filter-Based FDD Design for Non-Gaussian Stochastic Distribution Processes Using T-S Fuzzy Modeling. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1008551
American Medical Association (AMA)
Yi, Yang& Zhao, Yue-Yue& Cao, Song-Yin. Fuzzy Filter-Based FDD Design for Non-Gaussian Stochastic Distribution Processes Using T-S Fuzzy Modeling. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1008551
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1008551