Discrete Dynamics in Nature and Society

Analysis, Control of Singularity, and Hybrid in Fractional-Order Systems


Publishing date
01 Dec 2021
Status
Published
Submission deadline
16 Jul 2021

Lead Editor

1Xi’an Jiaotong University, Xi’an, China

2University of Technology Sydney, Ultimo, Australia

3Texas A&M University at Qatar, Doha, Qatar


Analysis, Control of Singularity, and Hybrid in Fractional-Order Systems

Description

Fractional calculus is a mathematical theory studying the properties and applications of any order of differential, and integral operators. It is an ancient and novel mathematical theory. Until the last twenty years, people began to apply fractional calculus theory to practical engineering. The main reason is that fractional calculus has no definite physical meaning, in practice, there is not a specific physical device to realize its infinite memory, and genetic characteristics. In the past decade, fractional calculus has become a hot research topic at home and abroad, and some scientists have successfully applied it to chaotic systems, electromagnetics, signal processing, viscoelasticity and genetic mechanics, mechanical engineering and robot control. Fractional calculus theory has been gradually applied in viscoelastic materials, biology, oscillation, turbulence, molecular diffusion, and material mechanics, and shows its broad engineering application prospects. Compared with the integer-order dynamical system, fractional-order dynamical systems have advantages. Firstly, the fractional-order system is the generalisation of the integer-order system, and the integer-order system is only a special case of fractional-order system, so the fractional-order system also has some properties of an integer-order system, such as transfer function, state equation description, etc. In addition, the fractional-order system has stronger memory, and is especially suitable for describing the memory, heredity, mechanical, and electrical properties of various materials. Furthermore, the fractional-order system is more stable and more objective to reveal, and describe the original phenomenon of nature. Moreover, the parameter adjustment of the fractional-order system controller is wider.

Recently, fractional-order systems have gained increasing interest. Fractional-order systems are related to the complexity and heredity of models, which can characterise the actual evolution process more adequately than integer-order systems, and provide a more abundant degree of freedom when we model real-world problems. Fractional phenomena would pose great challenges to the nonlinear dynamics analysis of fractional-order systems. The problems of analysis, and control of fractional-order systems deserve more investigation due to the growing demands for systems theory and control practice.

The aim of this Special Issue is to solicit original research articles investigating more effective, and innovative analysis methods, and easy-to-use tools for fractional-order systems. Submissions focussing on the potential and current applications of fractional calculus in science, and engineering are particularly encouraged. Review articles discussing the state of the art are also welcome.

Potential topics include but are not limited to the following:

  • Fractional abstract cauchy problems
  • Stability, and qualitative analysis of fractional-order systems
  • Strategies, and algorithms in fractional-order control systems
  • Modelling, analysis, simulation, and design of fractional-order controls
  • Singular characteristics in fractional-order systems
  • Hybrid properties in fractional-order systems
  • Controllability of fractional diffusion equation
  • Fractional derivative modelling of physical processes in complex media
  • Fractional calculus applications in signal, and image processing
  • Fractional calculus applications in science, and engineering

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 4022424
  • - Research Article

The Correlation of Texture and the Formation of the Adiabatic Shear Band in 7XXX Aluminum Alloy during Dynamic Loading

Xiaodong Wu
  • Special Issue
  • - Volume 2021
  • - Article ID 9922435
  • - Research Article

Sequential Probabilistic Ratio Test for the Scale Parameter of the -Norm Distribution

Huan Ren | Hongchang Hu | Zhen Zeng
  • Special Issue
  • - Volume 2021
  • - Article ID 5579931
  • - Research Article

Reliable Wi-Fi Indoor Localization in Case of AP Loss by Using Integrated Model Based on Signal Anomaly Detector and Signal Distance Corrector

Zheng Yao | Huaiyu Wu | ... | Xiujuan Zheng
  • Special Issue
  • - Volume 2021
  • - Article ID 5518436
  • - Research Article

Epidemic Dynamics of a Fractional-Order SIS Infectious Network Model

Na Liu | Yunliu Li | ... | Peng Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 9932134
  • - Research Article

Dissipativity Analysis for a Class of Discrete-Time Neutral Stochastic Nonlinear Systems with Time Delay

Shengchun Yu | Yanzhen Pang | ... | Xin Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 9929015
  • - Research Article

A Stochastic User Equilibrium Formulation for the Cumulative Prospect Theory-Based Cross-Nested Logit

Dongmei Yan | Yang Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 2882076
  • - Research Article

The Truncated Theta-EM Method for Nonlinear and Nonautonomous Hybrid Stochastic Differential Delay Equations with Poisson Jumps

Weifeng Wang | Lei Yan | ... | Junhao Hu
  • Special Issue
  • - Volume 2021
  • - Article ID 5575849
  • - Research Article

Exponential Synchronization of Memristive Neural Networks with Discrete and Distributed Time-Varying Delays via Event-Triggered Control

Biwen Li | Wenbo Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 6659063
  • - Research Article

Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control

Ruihan Chen | Tianfeng Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 5535971
  • - Research Article

Neural-Network-Based Collaborative Control for Continuous Unknown Nonlinear Systems

Siyu Gao | Xin Wang
Discrete Dynamics in Nature and Society
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Acceptance rate11%
Submission to final decision137 days
Acceptance to publication20 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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