Add to ORKGPolynomial and rational expansions of nonlinear stochastic dynamic models are compared. The structure, approximation properties and stability are discussed and a unified identification algorithm is introduced
In this thesis, we have developed practical methods for the identification of linear, nonlinear and ...
Identification of nonlinear rational systems defined as the ratio of two nonlinear functions of past...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
SIGLEAvailable from British Library Document Supply Centre-DSC:DX205796 / BLDSC - British Library Do...
Most systems encountered in the real world are nonlinear in nature, and since linear models cannot c...
Most systems encountered in the real world are nonlinear in nature, and since linear models cannot c...
Classical prediction error approaches for the identification of non-linear polynomial NARX/NARMAX mo...
© 2013 Taylor & Francis. This paper is a summary of the research development in the rational (tota...
In this paper, we show that the common approach for simulation non-linear stochastic models, commonl...
Classical incremental approaches for the identification of polynomial NARX/NARMAX models often yield...
The Polynomial Nonlinear Auto-Regressive eXogenous input (P-NARX) model, a multivariable polynomial ...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
Abstract: A new hybrid model structure combing polynomial models with multiresolution wavelet decomp...
A general structure detection and parameter estimation algorithm is derived for the identification o...
A new hybrid model structure combining polynomial models with multi-resolution wavelet decomposition...
In this thesis, we have developed practical methods for the identification of linear, nonlinear and ...
Identification of nonlinear rational systems defined as the ratio of two nonlinear functions of past...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
SIGLEAvailable from British Library Document Supply Centre-DSC:DX205796 / BLDSC - British Library Do...
Most systems encountered in the real world are nonlinear in nature, and since linear models cannot c...
Most systems encountered in the real world are nonlinear in nature, and since linear models cannot c...
Classical prediction error approaches for the identification of non-linear polynomial NARX/NARMAX mo...
© 2013 Taylor & Francis. This paper is a summary of the research development in the rational (tota...
In this paper, we show that the common approach for simulation non-linear stochastic models, commonl...
Classical incremental approaches for the identification of polynomial NARX/NARMAX models often yield...
The Polynomial Nonlinear Auto-Regressive eXogenous input (P-NARX) model, a multivariable polynomial ...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
Abstract: A new hybrid model structure combing polynomial models with multiresolution wavelet decomp...
A general structure detection and parameter estimation algorithm is derived for the identification o...
A new hybrid model structure combining polynomial models with multi-resolution wavelet decomposition...
In this thesis, we have developed practical methods for the identification of linear, nonlinear and ...
Identification of nonlinear rational systems defined as the ratio of two nonlinear functions of past...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...