Numerical Methods in Dynamical Systems

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E4: Mathematical Physics".

Deadline for manuscript submissions: 10 March 2026 | Viewed by 450

Special Issue Editors


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Guest Editor
Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, 24, Tzar Asen Str., 4000 Plovdiv, Bulgaria
Interests: numerical analysis; engineering; applied and computational mathematics

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Guest Editor
Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, 24, Tzar Asen Str., 4000 Plovdiv, Bulgaria
Interests: numerical methods; information systems
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Special Issue Information

Dear Colleagues,

The task of generalizing and studying classical and newer differential models appearing in the literature in recent years is always relevant.

This requires the use and development of specialized numerical methods applicable to the study of specific nonlinear dynamical systems.

We mention, for example, the current tasks of conducting qualitative numerical analysis and generating appropriate iterative methods for studying the dynamics of the following:

  • Modified micro-electromechanical oscillators;
  • Extended Duffing–van der Pol oscillators;
  • Generalized anharmonic oscillators;
  • Piecewise smooth oscillators;
  • Perturbed Morse-type oscillators;
  • Modified planar Kelvin–Stuart models;
  • Multiple sine-Gordon models;
  • Numerical solutions of the Boussinesq equation.

In several cases in the process of calculating the Melnikov functions, researchers find that the expressions of the Melnikov functions cannot be solved analytically because the homo/heteroclinic orbits are very complex. For this purpose, numerical algorithms are usually proposed and used in practice.

Another interesting possibility is the use of high-order Melnikov polynomials to generate antenna factors. This requires the use of specific numerical algorithms from the fields of approximation theory and optimization theory.

Prof. Dr. Nikolay Kyurkchiev
Prof. Dr. Anton Iliev
Guest Editors

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Keywords

  • numerical algorithms
  • nonlinear dynamics
  • chaos
  • generalized dynamical models
  • antenna factor

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Published Papers (1 paper)

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Research

23 pages, 3054 KB  
Article
Investigations on the Chaos in the Generalized Double Sine-Gordon Planar System: Melnikov’s Approach and Applications to Generating Antenna Factors
by Nikolay Kyurkchiev, Tsvetelin Zaevski and Anton Iliev
Mathematics 2025, 13(22), 3700; https://doi.org/10.3390/math13223700 - 18 Nov 2025
Viewed by 212
Abstract
Many authors analyze the chaotic motion of the driven and damped double sine-Gordon equations and compute the Melnikov functions by numerical methods, taking an example to verify good agreement between numerical methods and analytical ones. Unfortunately, due to the lack of an explicit [...] Read more.
Many authors analyze the chaotic motion of the driven and damped double sine-Gordon equations and compute the Melnikov functions by numerical methods, taking an example to verify good agreement between numerical methods and analytical ones. Unfortunately, due to the lack of an explicit presentation of the Melnikov integral, the reader has difficulty navigating and touching upon Melnikov’s elegant theory and, in particular, the formulation of the Melnikov criterion for the occurrence of chaos in a dynamical system, based solely on the provided illustrations of dependencies between the main parameters of the model under consideration. In this paper we will try to shed additional light on this important problem. A new planar system corresponding to the generalized double sine-Gordon model with many free parameters is considered. We also look at the modeling of radiation diagrams and antenna factors as potential uses for the Melnikov functions. A number of simulations are created. We also show off a few specific modules for examining the model’s behavior. There is also discussion of one use for potential oscillation control. Full article
(This article belongs to the Special Issue Numerical Methods in Dynamical Systems)
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