Intelligent Process Fault Diagnosis for Nonlinear Systems with Uncertain Plant Model via Extended State Observer and Soft Computing

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ISSN Print: 2153-0653
ISSN Online: 2153-0661
www.scirp.org/journal/ica
E-mail: ica@scirp.org

"Intelligent Process Fault Diagnosis for Nonlinear Systems with Uncertain Plant Model via Extended State Observer and Soft Computing"
written by Paul P. Lin, Dapeng Ye, Zhiqiang Gao, Qing Zheng,
published by Intelligent Control and Automation, Vol.3 No.4, 2012

has been cited by the following article(s):

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[1]	A hybrid fault prediction method for control systems based on extended state observer and hidden Markov model Asian Journal of Control, 2023 DOI:10.1002/asjc.2802

[2]	A hybrid fault prediction method for control systems based on extended state observer and hidden Markov model Asian Journal of Control, 2022 DOI:10.1002/asjc.2802

[3]	A Self-Learning Diagnosis Algorithm Based on Data Clustering Intelligent Control and Automation, 2016 DOI:10.4236/ica.2016.73009

[4]	Preload based ADRC physiological controller for rotary blood pump 2016 35th Chinese Control Conference (CCC), 2016 DOI:10.1109/ChiCC.2016.7554853

[5]	ADRC or adaptive controller – A simulation study on artificial blood pump Computers in Biology and Medicine, 2015 DOI:10.1016/j.compbiomed.2015.09.006

[6]	Detection and isolation of process faults from actuator faults and sensor faults for a typical MIMO dynamic system 11th IEEE International Conference on Control & Automation (ICCA), 2014 DOI:10.1109/ICCA.2014.6870948

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