Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method-Reference-Cited by-同舟云学术

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Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method

Published:2016-05 Issue: Volume:191 Page:409-420
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wu Chengwei,Li Hongyi,Lam Hak-Keung,Karimi Hamid Reza

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Program for Liaoning Excellent Talents in University

Chinese National Postdoctoral Science Foundation

Special Chinese National Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

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2. Stability of networked control systems;Zhang;IEEE Control Syst.,2001

3. Selective harmonic mitigation technique for cascaded h-bridge converters with nonequal dc link voltages;Napoles;IEEE Trans. Ind. Electron.,2013

4. Grid-connected photovoltaic generation plants;Romero-Cadaval;IEEE Ind. Electron. Mag.,2013

5. Robust fuzzy output-feedback control with multiple probabilistic delays and multiple missing measurements;Dong;IEEE Trans. Fuzzy Syst.,2010

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