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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12016 |