Investigation and implementation of model order reduction technique for large scale dynamical systems
Abstract Model Order Reduction (MOR) has demonstrated its robustness and wide use in
engineering and science for the simulation of large-scale mathematical systems over the last …
engineering and science for the simulation of large-scale mathematical systems over the last …
[HTML][HTML] Linear time-invariant system reduction using a mixed methods approach
In this study, we propose a new method for obtaining a reduced order model of high order
linear time-invariant single input–single output (SISO) and multiple input–multiple output …
linear time-invariant single input–single output (SISO) and multiple input–multiple output …
A new technique for reduced-order modelling of linear time-invariant system
In this paper, a new technique for order reduction of linear time-invariant systems is
presented. This technique is intended for both single-input single-output (SISO) and multi …
presented. This technique is intended for both single-input single-output (SISO) and multi …
Clustering method for reducing order of linear system using Pade approximation
A mixed method is proposed for finding stable reduced order models of single-input-single-
output large-scale systems using Pade approximation and the clustering technique. The …
output large-scale systems using Pade approximation and the clustering technique. The …
[HTML][HTML] A novel order diminution of LTI systems using Big Bang Big Crunch optimization and Routh Approximation
A novel computer aided method is presented that yields Linear Time Invariant Reduced
Order System (LTI-ROS). This is accomplished by using the combined benefits of Big Bang …
Order System (LTI-ROS). This is accomplished by using the combined benefits of Big Bang …
[HTML][HTML] Reduced-order modeling of linear time invariant systems using big bang big crunch optimization and time moment matching method
In this paper, a new approach is proposed to approximate the high-order linear time
invariant (LTI) system into its low-order model. The proposed approach is a mixed method of …
invariant (LTI) system into its low-order model. The proposed approach is a mixed method of …
A new approach to order reduction using stability equation and big bang big crunch optimization
A new method of model order reduction is introduced by combining the merits of big bang
big crunch (BBBC) optimization technique and stability equation (SE) method. A linear …
big crunch (BBBC) optimization technique and stability equation (SE) method. A linear …
Soft computing approach for model order reduction of linear time invariant systems
Most of the physical systems can be represented by mathematical models. The
mathematical procedure of system modeling often leads to a comprehensive description of a …
mathematical procedure of system modeling often leads to a comprehensive description of a …
MIMO system reduction using modified pole clustering and genetic algorithm
A new mixed method for reducing the order of the large‐scale linear dynamic multi‐input‐
multi‐output (MIMO) systems has been presented. In this method, the common denominator …
multi‐output (MIMO) systems has been presented. In this method, the common denominator …
A new model reduction method for the linear dynamic systems and its application for the design of compensator
A new model reduction method for the simplification and design of a controller for the linear
time-invariant systems is proposed. An improved generalized pole clustering algorithm is …
time-invariant systems is proposed. An improved generalized pole clustering algorithm is …