Asian Journal of Information Technology

124
Views

2
Downloads

Numerical Solution of Mechanical Vibrating Systems Using Cellular Neural Networks

V.Murugesh and N. Rengarajan
Page: 933-937 | Received 21 Sep 2022, Published online: 21 Sep 2022

By Research Area

Medicine & Public Health Life Sciences Engineering Mathematics Biomedicine Physics Chemistry Computer Science Earth Sciences Social Sciences Business and Management Psychology Materials Science Economics Education Environment Philosophy Statistics Law Political Science and International Relations Pharmacy Dentistry Energy Linguistics Geography Finance Criminology and Criminal Justice Medicine Cultural and Media Studies History Architecture / Design Literature Biomedical Sciences Religious Studies Education & Language Food Science & Nutrition Public Health

By Volume and Issue

Abstract

In this study, Cellular Neural Network (CNN’s) is applied to compute the transient response of mechanical vibrating systems along with popular numerical integration algorithms. The result of RK-Butcher algorithm is compared with Euler, RK-Gill algorithms and with analytic solutions of the mechanical vibrating system. Stability analysis for the RK-Butcher algorithm has been discussed. Error graphs for the mechanical vibrating systems are presented in a graphical form to show the efficiency of this RK-Butcher algorithm.

How to cite this article:

V.Murugesh and N. Rengarajan . Numerical Solution of Mechanical Vibrating Systems Using Cellular Neural Networks.
DOI: https://doi.org/10.36478/ajit.2006.933.937
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2006.933.937