Fuzzy C-means Based Model Simplification using Jaya optimization Algorithm

A new mixed approach of model order reduction (MOR) for the simplification of higher order linear time-invariant single-input single-output (SISO) systems is presented in this article by combining the benefits of Fuzzy C-means (FCM) along with Jaya optimization algorithm. The FCM is a pole clustering based method used for the determination of reduced order denominator polynomial while the numerator polynomial is calculated by the Jaya optimization algorithm. Further, two numerical examples are considered and their performance indices are computed to justify the superiority of the proposed approach.