Order reduction of real time electromechanical systems by using a new model order reduction method and controller design
This paper presents a new hybrid model diminution algorithm for the simplification of large-
scale real time systems. This strategy leverages the balanced realization algorithm …
scale real time systems. This strategy leverages the balanced realization algorithm …
Laguerre-based low-rank balanced truncation of discrete-time systems
ZH **ao, YX Fang, YL Jiang - IEEE Transactions on Circuits and …, 2023 - ieeexplore.ieee.org
In this brief, a new model order reduction method based on low-rank Gramian approximation
is proposed for discrete-time systems. The main task is to use the Laguerre functions …
is proposed for discrete-time systems. The main task is to use the Laguerre functions …
Mixed positive-bounded balanced truncation
Z Salehi, P Karimaghaee… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reducing the order of positive real and bounded real systems has received great interest
over the years. Several methods have been published regarding these issues which are …
over the years. Several methods have been published regarding these issues which are …
Reduction of linear dynamic systems using generalized approach of pole clustering method
AK Prajapati, R Prasad - … of the Institute of Measurement and …, 2022 - journals.sagepub.com
A new model order abatement method based on the clustering of poles and zeros of a large-
scale continuous time system is proposed. The clustering of poles and zeros are used for …
scale continuous time system is proposed. The clustering of poles and zeros are used for …
Confined frequency-interval Gramian framework-based balanced model reduction
Some of the existent frequency-limited model reduction techniques result in unstable
reduced-order models (ROMs). Further, the ROMs of a few methods differ significantly from …
reduced-order models (ROMs). Further, the ROMs of a few methods differ significantly from …
Transformation of two-dimensional model into two-dimensional decoupled model and decomposition into one-dimensional models
Two-dimensional models are challenging to deals with because of their complex structure.
Two-dimensional models can be separated into two sub-models only if they are represented …
Two-dimensional models can be separated into two sub-models only if they are represented …
Improved pole clustering-based LTI system reduction using a factor division algorithm
In this paper, a novel technique is proposed to approximate the high-order linear continuous-
time and discrete-time systems. The proposed methodology is based on the improved pole …
time and discrete-time systems. The proposed methodology is based on the improved pole …
SVD-based frequency weighted model order reduction of continuous-time systems
Some conventional frequency-weighted model reduction methods yield unstable reduced-
order models (ROM) even for originally stable systems. Further, in some instances, existing …
order models (ROM) even for originally stable systems. Further, in some instances, existing …
Frequency-weighted and frequency interval Gramian framework-based model reduction using singular value decomposition
It is observed that the reduced-order models (ROMs) by some existing limited Gramians-
based techniques deviate significantly from the high-order model, resulting in a large …
based techniques deviate significantly from the high-order model, resulting in a large …
Model reduction of discrete time systems using time limited gramians
Time limited Gramians based balanced model reduction techniques for discrete time
systems are proposed. These techniques address the stability problem of the reduced order …
systems are proposed. These techniques address the stability problem of the reduced order …