Add to ORKGThis paper presents a method to determine a nonlinear state-space model from a finite number of measurements of the inputs and outputs. The method is based on embedding theory for nonlinear systems, and can be viewed as an extension of the subspace identification method for linear systems. The paper describes the underlying theory and provides some guidelines for using the method in practice. To illustrate the use of the identification method, it was applied to a second-order nonlinear system
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
In this paper, subspace identification methods are proposed to analyze the differences between On-An...
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...
This paper studies the generalization of linear subspace identification techniques to nonlinear syst...
In this thesis, new system identication methods are presented for three particular types of nonlinea...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
Conventional linear estimators give results contaminated in presence of nonlinearities and the extra...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
\u3cp\u3eIn this paper we discuss how to identify a mathematical model for a (non)linear dynamic sys...
System identification is the process of building mathematical models of dynamical systems based on o...
. Traditional prediction-error techniques for multivariable system identification require canonical ...
This work focuses on the identification of nonlinear dynamic systems. In particular the problem of o...
Abstract- In this paper we propose a method to model nonlinear multivariable systems. We will use a ...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
In this paper, subspace identification methods are proposed to analyze the differences between On-An...
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...
This paper studies the generalization of linear subspace identification techniques to nonlinear syst...
In this thesis, new system identication methods are presented for three particular types of nonlinea...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
Conventional linear estimators give results contaminated in presence of nonlinearities and the extra...
The problem of identifying an autonomous nonlinear system, that is, the problem of finding a state-s...
\u3cp\u3eIn this paper we discuss how to identify a mathematical model for a (non)linear dynamic sys...
System identification is the process of building mathematical models of dynamical systems based on o...
. Traditional prediction-error techniques for multivariable system identification require canonical ...
This work focuses on the identification of nonlinear dynamic systems. In particular the problem of o...
Abstract- In this paper we propose a method to model nonlinear multivariable systems. We will use a ...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
In this paper, subspace identification methods are proposed to analyze the differences between On-An...