Nonlinear system identification using quasi-ARX RBFN models with a parameter-classified scheme
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Publication:1693815
DOI10.1155/2017/8197602zbMath1380.93267OpenAlexW2774120255MaRDI QIDQ1693815
Jinling Liang, Abdullah M. Dobaie, Jinglu Hu, Yu Cheng, Lan Wang
Publication date: 31 January 2018
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/8197602
nonlinear system identificationparameter-classified schemequasi-ARX radial basis function network (RBFN) modelquasi-linear autoregressive with exogenous inputs (Quasi-ARX) models
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
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