Time-varying system identification and model validation using wavelets

DOI10.1109/78.258089zbMath0847.93063OpenAlexW2110292374MaRDI QIDQ4878191

Michail K. Tsatsanis, Georgios B. Giannakis

Publication date: 29 May 1996

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.258089

zbMATH Keywords

system identificationwavelet basistime-varying

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Model systems in control theory (93C99)

Related Items (9)

Identification of two-time scaled systems using prefilters ⋮ Informative conditions for a data set in a MIMO closed‐loop system with a switching controller ⋮ System impulse response identification using a multiresolution neural network ⋮ System identification in frequency domain using wavelets: conceptual remarks ⋮ Non-parametric estimate of the system function of a time-varying system ⋮ Parameter estimation for a class of time‐varying systems with the invariant matrix ⋮ Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models ⋮ Long term prediction of non-linear time series using multiresolution wavelet models ⋮ Nonparametric time-variant frequency response function estimates using arbitrary excitations

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