Nonparametric System Identification

From MaRDI portal
Publication:3543584

DOI10.1017/CBO9780511536687zbMath1172.93001OpenAlexW625600254WikidataQ118592534 ScholiaQ118592534MaRDI QIDQ3543584

Włodzimierz Greblicki, Mirosław Pawlak

Publication date: 4 December 2008

Full work available at URL: https://doi.org/10.1017/cbo9780511536687




Related Items (28)

Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept DriftOn the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming DataRecursive identification of errors-in-variables Wiener systemsLinear approximation and identification of MIMO Wiener-Hammerstein systemsA unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systemsSystem identification of a class of Wiener systems with hysteretic nonlinearitiesRecursive identification of errors-in-variables Wiener-Hammerstein systemsA novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identificationThe \(L_2\) convergence of stream data mining algorithms based on probabilistic neural networksKnowledge discovery in data streams with the orthogonal series-based generalized regression neural networksCorrelation analysis-based parameter learning of Hammerstein nonlinear systems with output noiseNonparametric estimation of nonlinear dynamic systems using semirecursive regression estimatesConvergence of normalized iterative identification of Hammerstein systemsCombined frequency-prediction error identification approach for Wiener systems with backlash and backlash-inverse operatorsIterative identification of block-oriented nonlinear systems based on biconvex optimizationA nonlinear recursive instrumental variables identification method of Hammerstein ARMAX systemIdentification of Wiener-Hammerstein systems by \(\ell_1\)-constrained Volterra seriesInitial estimates of the linear subsystems of Wiener-Hammerstein modelsSequential estimation of Spearman rank correlation using Hermite series estimatorsIdentification of block-oriented systems in the presence of nonparametric input nonlinearities of switch and backlash typesOn-line wavelet estimation of Hammerstein system nonlinearityRegression function and noise variance tracking methods for data streams with concept driftRecursive maximum likelihood method for the identification of Hammerstein ARMAX systemOn least squares discrete Fourier analysis of unequally spaced dataDirect identification of the linear block in Wiener systemKernel Estimation of Wiener–Hammerstein System NonlinearityWiener system identification by input injection methodBayesian semiparametric Wiener system identification




This page was built for publication: Nonparametric System Identification