We present a passivity-preserving balanced truncation model reduction method for differential-algebraic equations arising in circuit simulation. This method is based on balancing the solutions of projected Lur'e equations. By making use of the special structure of circuit equations, we can reduce the numerical effort for balanced truncation significantly. It is shown that the property of reciprocity is also preserved in the reduced-order model. Network topological interpretations of certain circuit effects are given. The presented theory is illustrated by a numerical example
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...
We apply Lyapunov-based balanced truncation model reduction method to differential-algebraic equatio...
We present an extension of the positive real and bounded real balanced truncation model reduction me...
Model order reduction (MOR) is an efficient technique to reduce the complexity of dynamical systems ...
Model order reduction (MOR) is an efficient technique to reduce the complexity of dynamical systems ...
This thesis presents a new passivity preserving model reduction method for circuit simulation, based...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
With the ever-growing complexity of high-frequency systems in the electronic industry, formation of ...
With the ever-growing complexity of high-frequency systems in the electronic industry, formation of ...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...
We apply Lyapunov-based balanced truncation model reduction method to differential-algebraic equatio...
We present an extension of the positive real and bounded real balanced truncation model reduction me...
Model order reduction (MOR) is an efficient technique to reduce the complexity of dynamical systems ...
Model order reduction (MOR) is an efficient technique to reduce the complexity of dynamical systems ...
This thesis presents a new passivity preserving model reduction method for circuit simulation, based...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
With the ever-growing complexity of high-frequency systems in the electronic industry, formation of ...
With the ever-growing complexity of high-frequency systems in the electronic industry, formation of ...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
This paper studies model order reduction of multi-agent systems consisting of identical linear passi...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...
In this paper, the dominant spectral-zero method (dominant SZM) is presented, a new passivity-preser...