The author presented a method for model order reduction of large-scale time-invariant systems in time domain. In this approach, two modified hankel matrices are suggested for getting reduced order models. The proposed method is simple, efficient and retains stability feature of the original high order system. The viability of the method is illustrated through the examples taken from literature
In this paper, a stability preserving model reduction algorithm for single-input single-output linea...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
The author presented a method for model order reduction of large-scale time-invariant systems in tim...
The author presented a method for model order reduction of large-scale time-invariant system...
Abstract — In this paper, an effective procedure to determine the reduced order model of higher orde...
This paper is dedicated to model order reduction of linear time-invariant systems. The main contribu...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
This paper introduces a model order reduction method that takes advantage of the near orthogonality ...
AbstractIn this paper, based on Laguerre polynomials, we present new methods for model reduction of ...
For linear time invariant high-order system calculation and analysis model is difficult to directly，...
This paper presents a robust model order reduction technique with guaranteed stability, minimum phas...
In this paper, a stability preserving model reduction algorithm for single-input single-output linea...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
The author presented a method for model order reduction of large-scale time-invariant systems in tim...
The author presented a method for model order reduction of large-scale time-invariant system...
Abstract — In this paper, an effective procedure to determine the reduced order model of higher orde...
This paper is dedicated to model order reduction of linear time-invariant systems. The main contribu...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
This paper introduces a model order reduction method that takes advantage of the near orthogonality ...
AbstractIn this paper, based on Laguerre polynomials, we present new methods for model reduction of ...
For linear time invariant high-order system calculation and analysis model is difficult to directly，...
This paper presents a robust model order reduction technique with guaranteed stability, minimum phas...
In this paper, a stability preserving model reduction algorithm for single-input single-output linea...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
Many applications concerning physical and technical processes employ dynamical systems for simulatio...
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