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Chaos Theory and Applications:The Physical Evidence, Mechanism are Important in Chaotic Systems

Year 2022, Volume 4, Issue 1, 1 - 3, 30.03.2022


This editorial is presented for readers and researchers in the field of nonlinear dynamics, including dynamical control, synchronization stability and control, fractional order approach, boundary condition, memristive system, functional neural circuit, Hamilton energy and Lyapunov function. These short comments and clarifications are helpful to explain the motive of scientific research, physical principle and potential application of nonlinear circuits, statistical analysis and schemes, and thus the report and papers may become readable and instructive.


  • Ma J et al. A physical view of computational neurodynamics. Journal of Zhejiang University-Science A, 2019, 20(9): 639-659.
  • Wang C and Ma J. 2018 A review and guidance for pattern selection in spatiotemporal system. International Journal of Modern Physics B 32(06): 1830003.
  • Wang C et al. 2019 Minireview on signal exchange between nonlinear circuits and neurons via field coupling. European Physical Joural Special Topics 2019, 228:1907–1924.
  • Zhou P et al. 2021 What is the most suitable Lyapunov function? Chaos, Solitons & Fractals doi: 10.1016/j.chaos.2021.111154.
  • Ma J et al. 2017 Calculation of Hamilton energy and control of dynamical systems with different types of attractors. 27:053108.
  • Zhou P et al. 2020 Clarify the physical process for fractional dynamical systems. Nonlinear Dynamics 100: 2353–2364.


Primary Language English
Subjects Automation and Control Systems
Journal Section Editorial

Jun MA (Primary Author)
Lanzhou University of Technology

Publication Date March 30, 2022
Published in Issue Year 2022, Volume 4, Issue 1


APA Ma, J. (2022). Chaos Theory and Applications:The Physical Evidence, Mechanism are Important in Chaotic Systems . Chaos Theory and Applications , 4 (1) , 1-3 . Retrieved from https://dergipark.org.tr/en/pub/chaos/issue/63571/955915

Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science 23830