Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems

Fuzzy filtering‐based fault detection for a class of discrete‐time conic‐type nonlinear systems

Abstract The authors investigates the problem of fuzzy fault detection filter (FFDF) design for a class of discrete‐time conic‐type nonlinear systems. By applying Takagi–Sugeno fuzzy models, the conic‐type dynamic FFDF system is established. Then, utilizing the Lyapunov function method to find a suf...

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Bibliographic Details
Main Authors: Jiancheng Wang, Shuping He
Format: Article
Language:English
Published: Hindawi-IET 2021-05-01
Series:IET Signal Processing
Subjects:
asymptotic stability
control system synthesis
discrete time systems
fault diagnosis
filtering theory
fuzzy control
Online Access:https://doi.org/10.1049/sil2.12016

Internet

https://doi.org/10.1049/sil2.12016

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