Add to ORKGThe problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-space description of a given sequence generated by sampling the output of an unknown autonomous nonlinear system, is studied. A theoretical framework which combines the use of the Schröder functional equation with realization-theoretic techniques is developed
peer reviewedThe aim of the present work is to attempt to create a logical framework to be used for ...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
System identification is the process of building mathematical models of dynamical systems based on o...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
This paper presents a method to determine a nonlinear state space model from a finite number of meas...
This paper presents a method to determine a nonlinear state-space model from a finite number of meas...
The problem of identifying deterministic autonomous linear and nonlinear systems is studied. A speci...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
In this thesis, new system identication methods are presented for three particular types of nonlinea...
This paper studies the generalization of linear subspace identification techniques to nonlinear syst...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
This work focuses on the identification of nonlinear dynamic systems. In particular the problem of o...
System Identification for linear systems and models is a well established and mature topic. Identify...
This report is intended as a user's manual for a package of MATLAB™ scripts and functions, developed...
The problem of estimating the dimension of the state-space of an autonomous nonlinear system is cons...
peer reviewedThe aim of the present work is to attempt to create a logical framework to be used for ...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
System identification is the process of building mathematical models of dynamical systems based on o...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
This paper presents a method to determine a nonlinear state space model from a finite number of meas...
This paper presents a method to determine a nonlinear state-space model from a finite number of meas...
The problem of identifying deterministic autonomous linear and nonlinear systems is studied. A speci...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
In this thesis, new system identication methods are presented for three particular types of nonlinea...
This paper studies the generalization of linear subspace identification techniques to nonlinear syst...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
This work focuses on the identification of nonlinear dynamic systems. In particular the problem of o...
System Identification for linear systems and models is a well established and mature topic. Identify...
This report is intended as a user's manual for a package of MATLAB™ scripts and functions, developed...
The problem of estimating the dimension of the state-space of an autonomous nonlinear system is cons...
peer reviewedThe aim of the present work is to attempt to create a logical framework to be used for ...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
System identification is the process of building mathematical models of dynamical systems based on o...