We consider a high-Q Duffing oscillator in a weakly nonlinear regime with the driving frequency sigma varying in time between sigma i and sigma f at a characteristic rate r. We found that the frequency sweep can cause controlled transitions between two stable states of the system. Moreover, these transitions are accomplished via a transient that lingers for a long time around the third, unstable fixed point of saddle type. We propose a simple explanation for this phenomenon, and find the transient lifetime to scale as -(ln|r-rc|)lambda r, where rc is the critical rate necessary to induce a transition and lambda r is the repulsive eigenvalue of the saddle. Experimental implications are mentioned.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevE.76.037203 | DOI Listing |
Chaos
January 2025
IGCE-Physics Department, São Paulo State University (UNESP), 13506-900 Rio Claro, SP, Brazil.
The dynamics of the convergence for the stationary state considering a Duffing-like equation are investigated. The driven potential for these dynamics is supplied by a damped forced oscillator that has a piecewise linear function. Fixed points and their basins of attraction were identified and measured.
View Article and Find Full Text PDFChaos
December 2024
Institute of Physics, University of São Paulo, 05508-900 São Paulo, SP, Brazil.
Heliyon
October 2024
Electrical Engineering of National Advanced School of Engineering of Yaounde, University of Yaounde I, P.O. Box: 8390, Yaounde, Cameroon.
We are interested in the amplification of very low voltages produced by solar cells during sunset or weak sunshine. The study uses a device consisting of a Duffing oscillator, which amplifies and automatically regulates a low-voltage input, an inverter that reverses the negative voltage of one of the outputs of the oscillator, and a summing device to add the voltages of the two oscillator outputs. Experimental and theoretical investigations are conducted, and it is observed from the results that the output voltage can reach to 7.
View Article and Find Full Text PDFChaos
December 2024
Leo AI Inc., 160 Alewife Brook Parkway, Suite 1095, Cambridge, Massachusetts 02138, USA and Faculty of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Data-Driven Response Regime Exploration and Identification (DR2EI) is a novel and fully data-driven method for identifying and classifying response regimes of a dynamical system without requiring human intervention. This approach is a valuable tool for exploring and discovering response regimes in complex dynamical systems, especially when the governing equations and the number of distinct response regimes are unknown, and the system is expensive to sample. Additionally, the method is useful for order reduction, as it can be used to identify the most dominant response regimes of a given dynamical system.
View Article and Find Full Text PDFNeural Netw
February 2025
College of Mechanical Engineering, Chongqing University, Chongqing 400044, China.
This paper explores the dynamic characteristics and a novel event-triggered practical prescribed-time controller for four complex coupled Duffing-type MEMS resonators. Initially, the effects of mechanical coupling stiffness, electrostatic coupling stiffness, and internal system parameters on the system's dynamic behavior are examined. The analysis results provide guidance for selecting system parameters.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!