Non-parametric identification of a memoryless system with a cascade structure

DOI10.1080/00207727908941660zbMath0416.93017OpenAlexW2089434346MaRDI QIDQ3206737

Adam Krzyżak, Włodzimierz Greblicki

Publication date: 1979

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207727908941660

zbMATH Keywords

algorithmsnon-parametric identificationcascade structurememoryless systemParzen kernel regression

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) General systems theory (93A99)

Related Items (10)

A nonparametric algorithm for identification of linear dynamic SISO systems of unknown order ⋮ On identification of block orientated systems by non-parametric techniques ⋮ Identificaction of nonlinear block-oriented systems by the recursive kernel estimate ⋮ Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models ⋮ Identifiability of large-scale interconnected linear zero-memory systems ⋮ Identifiability analysis of interconnected zero-memory composite systems ⋮ Well-posed linear models for large-scale zero-memory composite systems ⋮ On multiple-objective optimal model of a memoryless system with a cascade structure ⋮ Unnamed Item ⋮ On a two-level identification scheme of large-scale systems for open-loop steady-state optimization

Cites Work

• Consistency properties of nearest neighbor density function estimators
• Estimation of a regression function by the parzen kernel-type density estimators
• Estimation of a multivariate density
• Remarks on Some Nonparametric Estimates of a Density Function
• Recursive Estimates of Probability Densities
• On Strong Consistency of Density Estimates
• On Estimation of a Probability Density Function and Mode

This page was built for publication: Non-parametric identification of a memoryless system with a cascade structure