Parameter identification methods for an additive nonlinear system
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Publication:531232
DOI10.1007/s00034-014-9793-6zbMath1341.93079OpenAlexW1992035301MaRDI QIDQ531232
Publication date: 3 August 2016
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-014-9793-6
parameter estimationrecursive least squaresstochastic gradientadditive systempiece-wise nonlinearitypreload nonlinearity
Stochastic programming (90C15) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
Related Items (6)
Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems ⋮ Least squares identification for Hammerstein multi-input multi-output systems based on the key-term separation technique ⋮ Identification methods for two-variable difference systems ⋮ Recursive least squares algorithm for nonlinear dual-rate systems using missing-output estimation model ⋮ Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory ⋮ Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter
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