Integrated intelligence of fractional neural networks and sequential quadratic programming for Bagley–Torvik systems arising in fluid mechanics
In this study, an efficient soft computing paradigm is presented for solving Bagley–Torvik
systems of fractional order arising in fluid dynamic model for the motion of a rigid plate …
systems of fractional order arising in fluid dynamic model for the motion of a rigid plate …
EEG control of a bionic hand with imagination based on chaotic approximation of largest Lyapunov exponent: A single trial BCI application study
This paper investigates a method for imaginary hand fisting pattern recognition based on the
electroencephalography (EEG). The proposed method estimate the largest Lyapunov …
electroencephalography (EEG). The proposed method estimate the largest Lyapunov …
Using zigzag persistent homology to detect Hopf bifurcations in dynamical systems
Bifurcations in dynamical systems characterize qualitative changes in the system behavior.
Therefore, their detection is important because they can signal the transition from normal …
Therefore, their detection is important because they can signal the transition from normal …
largest lyapunov exponent optimization for control of a bionic-hand: A brain computer interface study
This paper introduces a brain control bionic-hand, and several methods have been
developed for predicting and quantifying the behavior of a non-linear system such as a …
developed for predicting and quantifying the behavior of a non-linear system such as a …
A novel resonance attractor evaluation method for traveling wave vibration of thin-walled gears: Modeling and experiments
Z Xu, J Wei, H Wei, Z Liu, Y Zhang - Journal of Sound and Vibration, 2024 - Elsevier
Thin-walled gears have high power density and are the main gear type in aeronautical
applications, but threatened by the traveling wave vibration (TWV). In this paper, a novel …
applications, but threatened by the traveling wave vibration (TWV). In this paper, a novel …
Learning dynamics on invariant measures using PDE-constrained optimization
J Botvinick-Greenhouse, R Martin… - Chaos: An Interdisciplinary …, 2023 - pubs.aip.org
We extend the methodology in Yang et al.[SIAM J. Appl. Dyn. Syst. 22, 269–310 (2023)] to
learn autonomous continuous-time dynamical systems from invariant measures. The …
learn autonomous continuous-time dynamical systems from invariant measures. The …
Experimental monitoring and modeling of fatigue damage for 3D-printed polymeric beams under irregular loading
Studying the fatigue of 3D-printed (3DP) structures usually requires time-consuming and ad
hoc material characterizations. This paper experimentally demonstrates a non-intrusive …
hoc material characterizations. This paper experimentally demonstrates a non-intrusive …
Study on the boundedness, stability and dynamic characteristics of friction system based on fractal and chaotic theory
S hui Lang, H Zhu, C ling Wei - Tribology International, 2023 - Elsevier
Friction signals under different working conditions are obtained, the phase trajectories and
the recurrence plots are constructed to identify the wear states in the Friction System (FS) …
the recurrence plots are constructed to identify the wear states in the Friction System (FS) …
K-nearest neighbor regressors optimized by using random search
This work proposes a method for forecasting time series based on a model selection of kNN
regressors. Our technique is simple but powerful, we propose to compose a single …
regressors. Our technique is simple but powerful, we propose to compose a single …
A study on methods for determining phase space reconstruction parameters
S Lang, H Zhu, G Sun, Y Jiang… - Journal of …, 2022 - asmedigitalcollection.asme.org
Several pairs of algorithms were used to determine the phase space reconstruction
parameters to analyze the dynamic characteristics of chaotic time series. The reconstructed …
parameters to analyze the dynamic characteristics of chaotic time series. The reconstructed …