Show simple item record

contributor authorRahimpour, Shaghayegh
contributor authorBajaj, Nikhil
contributor authorDane Quinn, D.
date accessioned2025-08-20T09:34:57Z
date available2025-08-20T09:34:57Z
date copyright11/8/2024 12:00:00 AM
date issued2024
identifier issn1555-1415
identifier othercnd_020_01_011002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308513
description abstractThis paper explores the interactions of both phase and amplitude in a network of N MEMS-Colpitts oscillators that are resistively coupled. The numerical simulations of the extensive networks of oscillators, required for emerging applications such as clock synchronization and neuromorphic computing, become computationally prohibitive as the number of oscillators increases. This complicates the design and evaluation of such systems, as understanding the effects of changes in coupling and design parameters can require many simulations. This study employs the method of multiple scales (MS) in combination with the harmonic balance method to convert the coupled differential equations governing the system of oscillators into a set of nonlinear evolution equations for the amplitude and phase of the oscillators. The amplitude and phase evolve on a timescale that is slow, commensurate with the damping in the system, compared with the fast timescale of the oscillation frequencies. The approach used in this study to describe the amplitude and phase dynamics offers significant computational efficiency (gains of 10× to 50× are shown) compared to direct numerical integration while maintaining an accurate representation of the response. The results of the presented simulations demonstrate the effect of coupling strength on the dynamics of the network, accounting for both phase and amplitude dynamics.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Efficient Analysis of Amplitude and Phase Dynamics in Networked MEMS-Colpitts Oscillators
typeJournal Paper
journal volume20
journal issue1
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4066801
journal fristpage11002-1
journal lastpage11002-10
page10
treeJournal of Computational and Nonlinear Dynamics:;2024:;volume( 020 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record