Complexity

Applications in Science and Engineering for Modelling, Analysis and Control of Chaos


Publishing date
01 Feb 2021
Status
Closed
Submission deadline
02 Oct 2020

Lead Editor

1China University of Geosciences, Wuhan, China

2Defense University, Bishoftu, Ethiopia

3Yulin Normal University, Yulin, China

This issue is now closed for submissions.
More articles will be published in the near future.

Applications in Science and Engineering for Modelling, Analysis and Control of Chaos

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Since the 1990s, chaos theory has promoted the development of related disciplines, both in natural sciences and social sciences. Although there are some important results regarding the analysis and control of chaos, the generation mechanism of chaos is still a meaningful research topic. Therefore, the research on this subject has important theoretical significance and practical application value. In particular, recent advances in nonlinear models reveal that their complexity and richness are far beyond our expectations. Their investigation requires the development of new analytical and computational methods.

This Special Issue invites original research and review articles on the analysis methods and chaotic behaviour analysis for nonlinear models in the field of natural science and engineering technology. We are also interested in the geometric qualitative study, control of chaos, numerical calculation, and potential applications of bifurcation and chaos in differential equations or difference equations.

Potential topics include but are not limited to the following:

  • Qualitative geometry analysis of differential equations
  • Melnikov analysis and applications in determining chaos
  • Modelling, analysis, and control of chaos in electrical and mechanical systems
  • Modelling and analysis of chaos in biological and chemical systems
  • Various control techniques for suppressing chaos in physical systems
  • Effects and applications of time delay on chaos in physical systems
  • Spiral waves and chimera states in physical systems
  • Recent advances in chaotic circuits

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8845553
  • - Research Article

Robust Synchronization of Class Chaotic Systems Using Novel Time-Varying Gain Disturbance Observer-Based Sliding Mode Control

Yang Wang | Zhen Wang | Lingyun Kong
  • Special Issue
  • - Volume 2021
  • - Article ID 6618435
  • - Research Article

Synchronization of a Hyperchaotic Finance System

Huangen Chen | Lu Yu | ... | Miaomei Guo
  • Special Issue
  • - Volume 2021
  • - Article ID 6402459
  • - Research Article

Further Study on Dynamics for a Fractional-Order Competitor-Competitor-Mutualist Lotka–Volterra System

Bingnan Tang
  • Special Issue
  • - Volume 2021
  • - Article ID 6634156
  • - Research Article

Deep ChaosNet for Action Recognition in Videos

Huafeng Chen | Maosheng Zhang | ... | Yunhong Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 8861465
  • - Research Article

Control of Chaotic Calcium Oscillations in Biological Cells

Quanbao Ji | Min Ye
  • Special Issue
  • - Volume 2021
  • - Article ID 8864981
  • - Research Article

A Gaussian Process Latent Variable Model for Subspace Clustering

Shangfang Li
  • Special Issue
  • - Volume 2021
  • - Article ID 8865522
  • - Research Article

Dynamic Analysis and Robust Control of a Chaotic System with Hidden Attractor

Huaigu Tian | Zhen Wang | ... | Yang Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8844657
  • - Research Article

Multistability in a Fractional-Order Centrifugal Flywheel Governor System and Its Adaptive Control

Bo Yan | Shaobo He | Shaojie Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8810901
  • - Research Article

A Multiscale Chaotic Feature Extraction Method for Speaker Recognition

Jiang Lin | Yi Yumei | ... | Wang Tonghan
  • Special Issue
  • - Volume 2020
  • - Article ID 8884786
  • - Research Article

Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform

Zuoxun Wang | Liqiang Xu
Complexity
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 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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