Advances in Chaos Theory and Dynamical Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5407
Special Issue Editors
Interests: dynamical systems; nonlinear dynamics; chaos theory; mathematical modelling; complex behaviour; complex systems; complex networks; synchronisation and applications
Interests: nonlinear dynamical systems; classical and quantum chaos; mathematical modeling of biological systems; neuromodulation; whole brain dynamical modelling
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue of the journal Mathematics entitled “Advances in Chaos Theory and Dynamical Systems”.
Many problems in life and sciences can be described by dynamical systems, i.e., by systems whose states evolve with time over a state space according to deterministic fixed rules. They can model a vast range of phenomena in nature, society and sciences and can bring together different fields in maths to support interdisciplinary approaches to understand the world around us. Chaos theory started developing in the early 1960s by E. Lorenz and focuses on the study of unpredictable behaviour in dynamical systems governed by deterministic laws.
The goal is to analyse and better understand processes in different fields in science or applications, such as in maths, physics, biology, epidemiology, ecology, complex systems, complex networks, synchronisation phenomena, mechanics, etc. Dynamical systems and chaos theory can help develop common approaches to tackle problems that might look unrelated at first sight. Combined can offer unique and powerful theoretical and numerical approaches to study those problems and better understand them, providing us with the opportunity to improve our understanding of nature, our lives and well-being.
This Special Issue welcomes original research articles, short communications, and review papers on the forefront of advances in chaos theory and dynamical systems. Potential topics include theoretical and numerical studies as well as analyses of applied models related to a vast range of fields, cited below.
Dr. Chris G. Antonopoulos
Dr. Thanos Manos
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
- dynamical systems
- nonlinear dynamics
- nonlinear systems
- chaotic systems
- Hamiltonian systems
- dissipative systems
- complex systems
- chaotic indicators
- bifurcation analysis
- symbolic dynamics
- control theory
- networks
- synchronisation phenomena
- chimera states
- statistical mechanics
- Boltzmann-Gibbs entropy
- Tsallis entropy
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