This paper describes the use of Krylov subspace methods in the model reduction of power systems. Additionally, a connection between the Krylov subspace model reduction and coherency in power systems is proposed, aiming at retaining some physical relationship between the reduced and the original system
AbstractIn order reduction of large-scale linear time invariant systems, Krylov subspace methods bas...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
Model reduction for Linear dynamical system can be done by Krylov subspace method. In this paper, we...
This paper describes the use of Krylov subspace methods in the model reduction of power systems. Add...
136 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.Power system applications are...
A data-driven algorithm recently proposed to solve the problem of model reduction by moment matching...
Due to the decreasing sizes of electrical devices used nowadays and the increasing frequency, the in...
Purpose – The paper is aimed at the development of novel model reduction techniques for nonlinear sy...
In this paper the Krylov subspace method is investigated regarding its use for the vibration analysi...
This thesis focuses on the model reduction of linear systems and the solution of large scale linear ...
AbstractThe simulation of electronic circuits involves the numerical solution of very large-scale, s...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
This paper demonstrates how structured model reduction can be used to reduce the order of power syst...
Many of today’s engineering systems have a network structure. Consider for instance power systems, w...
212 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation focuses on ...
AbstractIn order reduction of large-scale linear time invariant systems, Krylov subspace methods bas...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
Model reduction for Linear dynamical system can be done by Krylov subspace method. In this paper, we...
This paper describes the use of Krylov subspace methods in the model reduction of power systems. Add...
136 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.Power system applications are...
A data-driven algorithm recently proposed to solve the problem of model reduction by moment matching...
Due to the decreasing sizes of electrical devices used nowadays and the increasing frequency, the in...
Purpose – The paper is aimed at the development of novel model reduction techniques for nonlinear sy...
In this paper the Krylov subspace method is investigated regarding its use for the vibration analysi...
This thesis focuses on the model reduction of linear systems and the solution of large scale linear ...
AbstractThe simulation of electronic circuits involves the numerical solution of very large-scale, s...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
This paper demonstrates how structured model reduction can be used to reduce the order of power syst...
Many of today’s engineering systems have a network structure. Consider for instance power systems, w...
212 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.This dissertation focuses on ...
AbstractIn order reduction of large-scale linear time invariant systems, Krylov subspace methods bas...
AbstractIn this paper, we propose a model reduction algorithm for approximation of large-scale linea...
Model reduction for Linear dynamical system can be done by Krylov subspace method. In this paper, we...
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