The aim of this paper is to construct a new model order reduction method for linear dynamic
systems. In this technique, the denominator polynomial of the reduced order model (ROM) is …

The objective of this article is the construction of a new model reduction method for the
simplification of large-scale linear dynamical plants. In this method, the denominator of the …

In this paper, a new simplified Routh approximation technique is proposed for the model
order reduction (MOR) of large scale linear time-invariant systems. In reduced order …

This paper proposes a new model order reduction method for the large-scale dynamic
systems using the factor division approach to allow the preservation of dominant poles. For a …

In this paper, we present frequency‐weighted optimal Hankel‐norm model reduction
algorithms for linear time‐invariant continuous‐time systems by representing an original …

In this paper, a large order system is reduced by using the bat algorithm to a reduced-order
approximant. The numerator and denominator coefficients of a desired reduced-order …

Model reduction is a process of approximating higher order original models by
comparatively lower order models with reasonable accuracy in order to provide ease in …

This paper discusses model order reduction of linear time-invariant (LTI) systems over
limited frequency intervals within the framework of balanced truncation. Two new frequency …

In this article, a generalized time limited Gramian based model reduction method is
presented for unstable systems. The proposed approach is also applicable to a system if it …

In this paper, the resilient model approximation problem for a class of discrete-time Markov
jump time-delay systems with input sector-bounded nonlinearities is investigated. A …