Local topological equivalence between two rival models breaks down when one of the models is at a state of bifurcation. Creation of bifurcation conditions by feedback consequently may be a useful and sensitive approach for model identification
\u3cp\u3eIn this paper we discuss how to identify a mathematical model for a (non)linear dynamic sys...
Motivated by neuronal models from neuroscience, we consider the system identification of simple feed...
A technique for robust identification of nonlinear dynamic systems is developed and illustrated usin...
Local topological equivalence between two rival models breaks down when one of the models is at a st...
The analysis of parameterised nonlinear models is considered. In particular the emphasis is on model...
It is shown that nonlinear global models identified from a single time series can be used to reprodu...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The parametr...
The analysis of parameterised nonlinear models is considered and a new approach is introduced which ...
The fundamental challenge in identification of nonlinear dynamic systems is determining the appropri...
Abstract: Bifurcations in nonlinear systems with weak noise are considered. The local bifu...
Motivated by numerical bifurcation detection, we present a methodology for the direct location of bi...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
Abstract—We present a coevolutionary algorithm for inferring the topology and parameters of a wide r...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
\u3cp\u3eIn this paper we discuss how to identify a mathematical model for a (non)linear dynamic sys...
Motivated by neuronal models from neuroscience, we consider the system identification of simple feed...
A technique for robust identification of nonlinear dynamic systems is developed and illustrated usin...
Local topological equivalence between two rival models breaks down when one of the models is at a st...
The analysis of parameterised nonlinear models is considered. In particular the emphasis is on model...
It is shown that nonlinear global models identified from a single time series can be used to reprodu...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The parametr...
The analysis of parameterised nonlinear models is considered and a new approach is introduced which ...
The fundamental challenge in identification of nonlinear dynamic systems is determining the appropri...
Abstract: Bifurcations in nonlinear systems with weak noise are considered. The local bifu...
Motivated by numerical bifurcation detection, we present a methodology for the direct location of bi...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes...
The paper summarizes some results of nonlinear system modelling and identification. Connectionswith ...
Abstract—We present a coevolutionary algorithm for inferring the topology and parameters of a wide r...
In this paper, a comparison between two models for nonlinear systems is made. Both models have a sta...
\u3cp\u3eIn this paper we discuss how to identify a mathematical model for a (non)linear dynamic sys...
Motivated by neuronal models from neuroscience, we consider the system identification of simple feed...
A technique for robust identification of nonlinear dynamic systems is developed and illustrated usin...
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