Data-driven modelling and dynamic analysis of the multistable energy harvester with non-Gaussian Lévy noise-Reference-Cited by-同舟云学术

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Data-driven modelling and dynamic analysis of the multistable energy harvester with non-Gaussian Lévy noise

Published:2024-01 Issue: Volume:125 Page:390-403
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Zhang Yanxia,Li Yang,Jin Yanfei

Funder

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Xi'an University of Science and Technology

Natural Science Foundation of Shaanxi Provincial Department of Education

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation

Reference44 articles.

1. Performance analysis of nonlinear vibration energy harvesting system with inelastic barrier under colored noise excitation;Liu;Appl. Math. Model.,2022

2. On intentional introduction of stiffness nonlinearities for energy harvesting under white gaussian excitations;Daqaq;Nonlinear Dyn.,2012

3. Dynamic analysis and design of power management circuit of the nonlinear electromagnetic energy harvesting device for the automobile suspension;Yao;Mech. Syst. Signal Process.,2022

4. Homoclinic bifurcation for a bi-stable piezoelectric energy harvester subjected to galloping and base excitations;Li;Appl. Math. Model.,2022

5. Two-step approximation procedure for random analyses of tristable vibration energy harvesting systems;Xu;Nonlinear Dyn.,2019

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1. A novel data-driven dynamic model for inflated doubly-bounded hydro-environmental time series;Applied Mathematical Modelling;2025-01

2. Dynamic and energetic characteristics of a bistable frequency up-conversion piezoelectric energy harvester coupled with a nonlinear spring oscillator;Mechanics of Advanced Materials and Structures;2024-09-04

3. Sparse least squares via fractional function group fractional function penalty for the identification of nonlinear dynamical systems;Chaos, Solitons & Fractals;2024-05

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