Add to ORKGThe thesis mainly focuses on the problem of nonlinear dynamical system identification from observed time series, which is one of the challenging topics in nonlinear time series analysis. The problem of nonlinear dynamical system identification is addressed in this thesis in three aspects: parameter identification; estimation of parameters and unobserved trajectory components; determination of the optimal model structure.Doctor of Philosophy (MAE
The thesis deals with methods of identification of dynamic systems in time and frequency domain. Non...
peer reviewedThis paper describes an Expert System that can detect and quantify the nonlinearity pre...
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...
The subject of this paper is the development of a nonlinearparametric identification method using ch...
Chaotic systems have been widely investigated during the past couple of decades. Specially, fractal ...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The linear...
The diploma thesis deals with nonlinear dynamical systems with emphasis on typical phenomena like bi...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
A unified approach to reccurent kernel identification algorithms design is proposed. In order to fix...
This survey paper contains a review of the past and recent developments in system identification of ...
The master's thesis deals mainly with continuous nonlinear dynamical systems that exhibit chaotic be...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
An identification methodology for nonlinear dynamic systems using Gaussian process prior models is p...
In this paper we propose an identification method of nonlinear system. This later can be structured ...
The thesis deals with methods of identification of dynamic systems in time and frequency domain. Non...
peer reviewedThis paper describes an Expert System that can detect and quantify the nonlinearity pre...
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...
The subject of this paper is the development of a nonlinearparametric identification method using ch...
Chaotic systems have been widely investigated during the past couple of decades. Specially, fractal ...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The linear...
The diploma thesis deals with nonlinear dynamical systems with emphasis on typical phenomena like bi...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
A unified approach to reccurent kernel identification algorithms design is proposed. In order to fix...
This survey paper contains a review of the past and recent developments in system identification of ...
The master's thesis deals mainly with continuous nonlinear dynamical systems that exhibit chaotic be...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
An identification methodology for nonlinear dynamic systems using Gaussian process prior models is p...
In this paper we propose an identification method of nonlinear system. This later can be structured ...
The thesis deals with methods of identification of dynamic systems in time and frequency domain. Non...
peer reviewedThis paper describes an Expert System that can detect and quantify the nonlinearity pre...
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...