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 …

A mixed method is proposed which combines the factor division algorithm with the eigen
spectrum analysis for deriving reduced order models of high-order linear time invariant …

This paper presents a mixed method to reduce the order of the linear high order dynamic
systems by combining improved modified pole clustering technique and improved Pade …

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 …

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 …

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 …

The authors present an algorithm for order reduction of linear dynamic systems using the
combined advantages of stability equation method and the error minimization by Genetic …

ABSTRACT A new reduction method is given which combines recently developed
metahueristic cuckoo search optimization technique and stability equation method for …

The authors present a mixed method for reducing the order of the large-scale dynamic
systems. In this method, the denominator polynomial of the reduced order model is obtained …

An adaptive model reduction method is proposed for linear time-invariant systems based on
the continuous-time rational orthogonal basis (Takenaka–Malmquist basis). The method is …