Advances in Fractional-Order Memristive High-Dimensional Neural Networks: Dynamics, Synchronization, and Brain-Inspired Engineering Applications
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 97
Special Issue Editor
Interests: fractional-order intelligent control; high-dimensional (quaternion/octonion) neural networks; memristive system dynamics & synchronization; nonlinear analysis
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Special Issue Information
Dear Colleagues,
In recent years, fractional-order systems and intelligent control have become highly active interdisciplinary fields, with broad applications in robotics, neural networks, brain-inspired computing, and industrial automation. Fractional-order operators offer strong capabilities in describing memory, hereditary properties, and complex dynamical behaviors, while intelligent control techniques provide effective strategies for modeling, optimization, and stability analysis under uncertainty and nonlinearity. However, several key challenges remain: the lack of unified stability criteria, high conservatism in traditional Lyapunov methods, difficulties in handling high-dimensional and memristive neural networks, and the gap between theoretical design and practical implementation.
This Special Issue focuses on advances in fractional-order memristive high-dimensional neural networks and their applications in dynamics, synchronization, and brain-inspired engineering. We aim to collect high-quality, innovative contributions that address these open problems. We welcome original research and review papers on fractional-order system analysis, intelligent control algorithms, stability and synchronization theory, memristive and neural network-based control, and advanced Lyapunov-based methods. The goal is to promote theoretical breakthroughs, reduce the conservatism of stability conditions, and explore real-world applications in intelligent systems. This issue will serve as a valuable reference for researchers and engineers working in fractional-order dynamics, intelligent control, and brain-inspired intelligent systems.
Prof. Dr. Jianying Xiao
Guest Editor
Manuscript Submission Information
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Keywords
- fractional-order systems
- intelligent control
- neural networks
- memristive systems
- stability analysis
- synchronization
- lyapunov method
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