Theoretical Analysis and Numerical Simulation for Fractional Dynamics and Fractional Calculus

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Numerical and Computational Methods".

Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 1954

Special Issue Editors

School of Mathematics and Statistics, Xidian University, Xi'an 710071, China
Interests: stochastic dynamical systems; neural networks; numerical methods; fractional-order PID control

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Guest Editor
School of Mathematics and Statistics, Xidian University, Xi'an 710071, China
Interests: fractional-order system; statistical analysis

E-Mail Website
Guest Editor
School of Mathematics and Statistics, Xidian University, Xi'an 710071, China
Interests: fractional stochastic dynamical systems; nonlinear dynamics and control; statistical analysis

Special Issue Information

Dear Colleagues,

Fractional calculus and its applications have gained considerable popularity and importance because of their applicability to many seemingly diverse and widespread fields in science and engineering. Many operations in physics and engineering can be accurately defined by using fractional operators to model complex phenomena. Viscoelasticity is chief among them, as the general fractional calculus approach to viscoelasticity has evolved as an empirical method of describing the properties of viscoelastic materials.

Fractional dynamics refers to the application of the theory of fractional calculus to investigate the dynamical properties of some dynamical systems. These systems often appear in fields such as physics, signal processes, biology, control, and structural engineering, and they generally contain non-integer-order differentiation or integration operations, in order to describe the long-time memory of the systems.

The focus of this Special Issue is on advanced research in theoretical analysis on topics relating to the development of fractional calculus theory; fractional-order operator design; and the analysis of dynamical properties including the stabilization, response, reliability, and control of fractional-order systems. The topics of the newest established technique range from numerical simulation to fractional dynamics. Topics that are invited for submission include (but are not limited to):

  • Fractional-order calculus theory;
  • Fractional-order oscillator designs and realizations;
  • Fractional-order control systems and implementation;
  • Digital and numerical approximations for solutions of fractional-order systems;
  • Stabilization of the fractional dynamical system;
  • Response of the fractional dynamical system;
  • Applications of fractional-order dynamical systems.
Dr. Wei Li
Dr. Guidong Yang
Dr. Dongmei Huang
Guest Editors

Manuscript Submission Information

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Keywords

  • fractional calculus
  • fractional integration
  • fractional derivative
  • dynamical systems
  • stabilization
  • system response
  • fractional-order system control.

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Published Papers (1 paper)

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Research

19 pages, 6499 KiB  
Article
Fractional-Order Modeling and Stochastic Dynamics Analysis of a Nonlinear Rubbing Overhung Rotor System
by Heng Zhao, Fubin Wang, Yaqiong Zhang, Zhaoli Zheng, Jiaojiao Ma and Chao Fu
Fractal Fract. 2024, 8(11), 643; https://doi.org/10.3390/fractalfract8110643 - 30 Oct 2024
Viewed by 1415
Abstract
To study the nonlinear dynamic behavior and system stability of a rubbing overhung rotor with viscoelastic and memory-effect damping and random uncertain parameters, this paper introduces a fractional-order modeling and stochastic dynamic analysis method for the nonlinear overhung rotor system with frictional impact [...] Read more.
To study the nonlinear dynamic behavior and system stability of a rubbing overhung rotor with viscoelastic and memory-effect damping and random uncertain parameters, this paper introduces a fractional-order modeling and stochastic dynamic analysis method for the nonlinear overhung rotor system with frictional impact faults. Firstly, the dynamic equations of the overhung rotor considering friction effect and fractional damping effect are established based on the transfer matrix method and fractional order derivative. Then, the time-domain response of the fractional-order dynamic equations is solved by combining the Runge–Kutta method and the continuous fractional expansion, and the steady-state response characteristics of different fractional damping are analyzed in the deterministic case. Finally, to analyze the response of the system under the effect of stochastic parameters, the sparse grid-based PCE metamodel of the system response is developed. Statistical moments, probability distributions, and sensitivity indices of the response of stochastic systems are revealed. The results of this paper provide a theoretical basis for efficient and accurate prediction of the stochastic response of nonlinear rubbing overhung rotor systems. Full article
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