Chaotic Dynamics in Discrete Time Systems
A special issue of Dynamics (ISSN 2673-8716).
Deadline for manuscript submissions: 31 August 2025 | Viewed by 5105
Special Issue Editors
Interests: chaos; control; observer design; cryptography
Special Issues, Collections and Topics in MDPI journals
Interests: chaos; cryptography
Special Issues, Collections and Topics in MDPI journals
Interests: nonlinear dynamics; chaos; chaos-based communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The study of chaos theory emerged from continuous dynamical systems, but it is also comprehensively documented in discrete time. Here, chaotic behavior can be present even in one-dimensional systems, in contrast to continuous time, where a minimum of three dimensions is required. Due to their ease of implementation and low computational cost, discrete chaotic systems, or chaotic maps as they are also termed, are often opted in applications where speed and computational load are of importance.
Nonetheless, apart from their adequacy in applications, discrete-time systems are also studied for their rich dynamical properties, found often to be universal to many nonlinear dynamical systems. Discrete-time chaotic systems can exhibit a wide variety of chaos-related phenomena, with regards to their transition to (and from) chaos, the number of equilibria and their stability, the existence of symmetric behavior, coexisting behaviors, and more. They also allow for rigorous demonstrations of universal fundamental phenomena in nonlinear dynamics.
This Special Issue aims to explore chaotic phenomena in discrete-time systems. Authors are welcome to submit their original and review works on discrete-time systems of any dimension which showcase interesting chaotic phenomena. Examples include:
- Symmetric attractors;
- Coexisting attractors;
- Hidden attractors;
- Antimonotonicity;
- Crisis;
- Bifurcations;
- Decay of correlations;
- Transient dynamics;
- Networks and multilayer networks of chaotic maps;
- Robust chaos;
- Infinite number of equilibria;
- Controllable number of equilibria;
- Controllable statistical measures;
- Techniques for constructing new maps;
- Novel tools and measures for studying chaotic maps;
- Digital implementations of the above;
- Applications of chaotic maps and their transformed versions in optimization, encryption, communications, and more.
Dr. Lazaros Moysis
Dr. Marcin Lawnik
Dr. Murilo da Silva Baptista
Guest Editors
Manuscript Submission Information
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Keywords
- chaos
- discrete time
- map
- bifurcation
- attractors
- applications
- equilibria
- lyapunov exponent
- chaotification
- symmetry
- coexisting attractor
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