An unscented kalman filter in designing dynamic gmdh neural networks for robust fault detection

International Journal of Applied Mathematics and Computer Science

Volumn 23, Issue 1, 2013, Pages 157-169

  Mrugalski, Marcin ^a  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

Author keywords

Dynamic GMDH neural network; Non linear system identification; Robust fault detection; Unscented Kalman filter

Indexed keywords

GMDH NEURAL NETWORK; GROUP METHOD OF DATA HANDLING; IDENTIFICATION METHOD; MULTI-INPUT MULTI-OUTPUT; NON-LINEAR SYSTEM IDENTIFICATION; ROBUST FAULT DETECTION; STATE SPACE REPRESENTATION; UNSCENTED KALMAN FILTER;

MIMO SYSTEMS; NONLINEAR FILTERING;

NEURAL NETWORKS;

EID: 84880059802     PISSN: None     EISSN: 1641876X     Source Type: Journal    
DOI: 10.2478/amcs-2013-0013     Document Type: Article

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