Recent Advances in Nonlinear Dynamics: Theory, Simulations, and Applications in Neural Networks and Memristive Systems
A special issue of Dynamics (ISSN 2673-8716).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 17
Special Issue Editors
Interests: uncertainty quantitation and propagation; structural dynamics; model updating
Interests: aerodynamics; micro-air vehicles; swarm robotics; control strategy; intelligent material; actuation control; multi-modal perception; bioinspired structure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the latest advancements in nonlinear dynamics, particularly emphasizing novel theoretical frameworks, computational models, and applications in neural networks and memristive systems. As these fields increasingly intersect with complex systems in neuroscience, robotics, and energy, robust mathematical models are essential for deciphering the intricate behaviours of such systems. We highlight cutting-edge methodological innovations to address three pivotal challenges at the intersection of nonlinear dynamics, neural computation, and memory science:
(1) Memory Dynamics Modelling: Developing novel neural architectures that integrate fractional calculus and memristive components to precisely emulate temporal delays and non-local memory characteristics, thereby overcoming the limitations of conventional models in capturing memory-dependent behaviours.
(2) Chaos and Stability Analysis: Systematic investigation of chaotic oscillations in neural networks via bifurcation theory, coupled with Lyapunov-based stability proofs to design robust controllers for adaptive systems.
(3) Intelligent Applications: Implementing nonlinear dynamics frameworks to enhance dynamic responsiveness and anti-interference capability in robotic adaptive control, smart grid resilience, and fault signal classification.
This issue also explores methodological innovations, including data-driven reduced-order models for high-dimensional neural dynamics. By bridging theoretical rigor with practical implementation, this collection aims to inspire breakthroughs in deciphering complex systems and advancing next-generation technologies. Submissions are encouraged to emphasize reproducibility, scalability, and interdisciplinary relevance, fostering a unified framework for nonlinear dynamics in memory-rich environments.
Dr. Baopeng Liao
Dr. Huan Shen
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. Dynamics is an international peer-reviewed open access quarterly 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 1200 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
- neural network
- memristive system
- data-driven
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