Add to ORKGAbstract: A two step approach for the generation of linear models using impulse response values computed by simulation will be described. In the first step a model of a "middle " order is determined using a realization based method. In the second step the order of this model will be reduced using known model order reduction methods. The objective of this paper is to show, that this kind of modeling can be realized by a combination of well known methods and leads to accurate models of very low order. 1
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
Model reduction by moment matching does not preserve, in a systematic way, the transient response of...
This paper has demonstrated the need to use models not only at the stage of theoretical research and...
Abstract: A two step approach for the generation of linear models using impulse response values comp...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
An important aspect of mathematical modeling for controller design or system performance evaluation ...
Abstract—In this paper, we present an approach to nonlinear model reduction based on representing a ...
A new method is introduced for simulation of nonlinear transmission lines based on model-order reduc...
In this paper we present an approach to the nonlinear model reduction based on representing the nonl...
The purpose of this thesis is the computation of optimal input signals for output tracking of a dyna...
In this book, we study theoretical and practical aspects of computing methods for mathematical model...
Includes bibliographical references (p. 156-160).Supported in part by the Semiconductor Research Cor...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
This paper presents a new approach for modeling and simulation of Nonlinear Transmission Lines (NLTL...
Various methods of model reduction for linear, continuous, time-invariant systems were reviewed. The...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
Model reduction by moment matching does not preserve, in a systematic way, the transient response of...
This paper has demonstrated the need to use models not only at the stage of theoretical research and...
Abstract: A two step approach for the generation of linear models using impulse response values comp...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
An important aspect of mathematical modeling for controller design or system performance evaluation ...
Abstract—In this paper, we present an approach to nonlinear model reduction based on representing a ...
A new method is introduced for simulation of nonlinear transmission lines based on model-order reduc...
In this paper we present an approach to the nonlinear model reduction based on representing the nonl...
The purpose of this thesis is the computation of optimal input signals for output tracking of a dyna...
In this book, we study theoretical and practical aspects of computing methods for mathematical model...
Includes bibliographical references (p. 156-160).Supported in part by the Semiconductor Research Cor...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
This paper presents a new approach for modeling and simulation of Nonlinear Transmission Lines (NLTL...
Various methods of model reduction for linear, continuous, time-invariant systems were reviewed. The...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
Model reduction by moment matching does not preserve, in a systematic way, the transient response of...
This paper has demonstrated the need to use models not only at the stage of theoretical research and...