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Fault Detection for a Nonlinear Switched Continuous Time Delayed System Using Machine Learning and Self-Switched UKF
Author(s) -
Sayanti Chatterjee
Publication year - 2022
Publication title -
journal européen des systèmes automatisés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.550212
Subject(s) - benchmark (surveying) , computer science , kalman filter , fault detection and isolation , fault (geology) , support vector machine , artificial intelligence , nonlinear system , filter (signal processing) , control theory (sociology) , extended kalman filter , probabilistic logic , machine learning , algorithm , computer vision , physics , control (management) , geodesy , quantum mechanics , seismology , geology , actuator , geography

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