A novel projection framework is presented for constructing stable reduced macromodels for stable active linear circuits. Stability preservation is a necessary property for time-domain simulation. The proposed method is based on an efficient algorithm for computing the projection matrices. The validity of the proposed method is demonstrated using numerical example
We study model order reduction (MOR) of continuous-time linear time-varying (LTV) systems. Examples ...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...
The conventional sensitivity analysis based on model-order reduction (MOR) techniques guarantees the...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Mathematical models of networked systems often take the form of a set of complex large-scale differe...
Mathematical models of networked systems often take the form of a set of complex large-scale differe...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Conventional sensitivity analysis based on model-order reduction techniques guarantee the passivity ...
Abstract—In this paper we present several results concerning the stabilization of piecewise-linear r...
Higher-level representations (macromodels, reduced-order models) abstract away unnecessary implement...
Since the first papers on asymptotic waveform evaluation (AWE), Pade-based reduced order models have...
The super node algorithm performs model order reduction based on physical principles. Although the a...
The super node algorithm performs model order reduction based on physical principles. Although the a...
We study model order reduction (MOR) of continuous-time linear time-varying (LTV) systems. Examples ...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...
The conventional sensitivity analysis based on model-order reduction (MOR) techniques guarantees the...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Mathematical models of networked systems often take the form of a set of complex large-scale differe...
Mathematical models of networked systems often take the form of a set of complex large-scale differe...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Conventional sensitivity analysis based on model-order reduction techniques guarantee the passivity ...
Abstract—In this paper we present several results concerning the stabilization of piecewise-linear r...
Higher-level representations (macromodels, reduced-order models) abstract away unnecessary implement...
Since the first papers on asymptotic waveform evaluation (AWE), Pade-based reduced order models have...
The super node algorithm performs model order reduction based on physical principles. Although the a...
The super node algorithm performs model order reduction based on physical principles. Although the a...
We study model order reduction (MOR) of continuous-time linear time-varying (LTV) systems. Examples ...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...
This paper considers a model order reduction problem that reduces the complexity of interconnected L...