Applied Mathematics in Nonlinear Dynamics and Chaos

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2681

Special Issue Editors


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Guest Editor
Department of Engineering Mathematics, Riga Technical University, LV-1048 Riga, Latvia
Interests: complex networks; nonlinear systems; nonlinear dynamics; mathematical modelling; chaos theory

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Guest Editor
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia
Interests: nonlinear boundary problems; ordinary differential equations; theory of oscillations; asymmetric problems; solutions of nonlinear differential equations; approximation of solutions; calculus of variations; spectral problems; analysis of three dimensional systems

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue of the journal Mathematics, entitled "Applied Mathematics in Nonlinear Dynamics and Chaos". This collection is focused on works devoted to new ideas in applied mathematics. It is assumed that these ideas can be formalized using the apparatus of the theory of dynamical systems. We welcome papers that consider processes that lead the regular to chaotic behavior of solutions. Chaotic behavior can be controlled by changing parameters and refining the model used. Of particular interest are articles that describe the implementation of the control of chaotic behavior. Is there order in chaos? Is it possible to imagine that the control of any chaotic systems is, in principle, impossible? To what extent, in this case, is this still possible? Since chaotic behavior can be present in systems arising in various fields of knowledge, this collection welcomes articles that study chaos in specific models used, for example, in engineering, mechanics, chemistry, biology, and the social sciences. Of particular note is mathematical modeling with the help of dynamic systems of processes in biological populations, not excluding the human community. Perhaps successful models will suggest ways to solve pressing problems in society, and shed light on some seemingly incomprehensible and unsolvable conflict situations of our time. All of the above do not exclude, but on the contrary, make desirable to some extent, standard forms of studying phenomena, their evolution, and development.

We would like to receive contributions from experts in their field (and simply interested beginner, but already skilled, mathematical workers) including the results of work in the following areas: 

  • The development of a dynamic mathematical model from a set of experimental data in some areas of production and/or natural science;
  • Theoretical work in the field of formalization of the phenomenon of chaos in terms inherent in the theory of dynamic systems;
  • “crazy” ideas regarding dynamic chaos and its connection with traditional theory, from real-minded specialists;
  • New ideas regarding the invasion of spaces of higher dimensions from the point of view of chaos and ways of translating the realities of these spaces into the realm of feelings, and not just logical formal thinking;
  • The stabilization of chaos in mathematical models, and recommendations for the stabilization of simulated real processes;
  • Vivid examples of the importance of understanding chaotic processes and descriptions of these processes that are accessible to the average person;
  • Chaos in number theory from the point of view of dynamical systems;
  • Proof of the possibility or refutations of the possibility of managing large social systems with the guaranteed limitation of uncontrolled processes;
  • Uncontrolled processes whether or not they are necessary, and how they emerge from controllable ones (in connection with artificial intelligence);
  • Everything related to objects and phenomena that seem interesting from the point of view of theory and practice, to which the methods of the theory of dynamic systems and those not specified above are applicable. 

Dr. Inna Samuilik
Prof. Dr. Felix Sadyrbaev
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nonlinear dynamics
  • bifurcation theory
  • chaos theory
  • irregular attractors
  • control theory
  • complex systems
  • numerical methods for dynamic systems
  • modeling and technology for dynamic systems in science and engineering

Published Papers (2 papers)

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Research

20 pages, 2332 KiB  
Article
Dynamic Behavior and Bifurcation Analysis of a Modified Reduced Lorenz Model
by Mohammed O. Al-Kaff, Ghada AlNemer, Hamdy A. El-Metwally, Abd-Elalim A. Elsadany and Elmetwally M. Elabbasy
Mathematics 2024, 12(9), 1354; https://doi.org/10.3390/math12091354 - 29 Apr 2024
Viewed by 455
Abstract
This study introduces a newly modified Lorenz model capable of demonstrating bifurcation within a specified range of parameters. The model demonstrates various bifurcation behaviors, which are depicted as distinct structures in the diagram. The study aims to discover and analyze the existence and [...] Read more.
This study introduces a newly modified Lorenz model capable of demonstrating bifurcation within a specified range of parameters. The model demonstrates various bifurcation behaviors, which are depicted as distinct structures in the diagram. The study aims to discover and analyze the existence and stability of fixed points in the model. To achieve this, the center manifold theorem and bifurcation theory are employed to identify the requirements for pitchfork bifurcation, period-doubling bifurcation, and Neimark–Sacker bifurcation. In addition to theoretical findings, numerical simulations, including bifurcation diagrams, phase pictures, and maximum Lyapunov exponents, showcase the nuanced, complex, and diverse dynamics. Finally, the study applies the Ott–Grebogi–Yorke (OGY) method to control the chaos observed in the reduced modified Lorenz model. Full article
(This article belongs to the Special Issue Applied Mathematics in Nonlinear Dynamics and Chaos)
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19 pages, 452 KiB  
Article
A Mathematical Model for Dynamic Electric Vehicles: Analysis and Optimization
by Khalid Khan, Inna Samuilik and Amir Ali
Mathematics 2024, 12(2), 224; https://doi.org/10.3390/math12020224 - 10 Jan 2024
Cited by 1 | Viewed by 1615
Abstract
In this article, we introduce a flexible and reliable technique to simulate and optimize the characteristics of a Dynamic Electrical Vehicle (DEV). The DEV model is a discrete event-based modeling technique used in electrical vehicle research to improve the effectiveness and performance of [...] Read more.
In this article, we introduce a flexible and reliable technique to simulate and optimize the characteristics of a Dynamic Electrical Vehicle (DEV). The DEV model is a discrete event-based modeling technique used in electrical vehicle research to improve the effectiveness and performance of various electrical vehicles (EVs) components. Here, the DEVS model is applied to EV research in several ways, including battery management optimization, evaluation of power train design and control strategy, and driver behavior analysis. The essential power train elements, including the battery, motor, generator, internal combustion engine, and power electronics are included in the mathematical model for the dynamic electric vehicle. The model is derived using the conservation of energy principle. The model includes mathematical equations for the electrical power output, battery charge level, motor torque, motor power output, generator power output, internal combustion engine torque, mechanical power delivered to the generator, and the efficiencies of the power electronics, motor, generator, and engine. The model is examined by using a numerical method called the Runge–Kutta Method of order 4 for dynamic electric vehicle’s performance under various driving states for maximum effectiveness and performance. It is revealed that the DEV model provides a systematic method to simulate and optimize the behavior of complex EV systems. Full article
(This article belongs to the Special Issue Applied Mathematics in Nonlinear Dynamics and Chaos)
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