Deadline Date: 31 May 2026
This Special Issue aligns with the journal's focus on Computational and Numerical Models of Engineering Problems, Development and Application of Numerical Methods, Advances in Software, Computer Design Innovations, Soft Computing, Machine Learning, and Artificial Intelligence. It aims to explore the theoretical foundations, computational advancements, and practical applications of time-delayed and fractional-order systems, which are critical in modeling complex dynamics across engineering and scientific domains. These systems, where current states depend on historical data or exhibit non-integer order dynamics, pose unique challenges and opportunities for innovative numerical methods, software solutions, and intelligent algorithms.
The issue emphasizes the development of robust computational models, advanced numerical techniques, and machine learning-driven approaches to address the complexities of time-delayed and fractional-order systems. It also seeks to advance soft computing and AI-based methodologies for stability analysis, control design, and system optimization, fostering interdisciplinary applications in engineering, biomedical sciences, and beyond.
We invite high-quality submissions that align with the journal's scope, including but not limited to the following topics:
-Computational modeling and numerical analysis of nonlinear and time-delayed dynamical systems
-Development of numerical methods for stability analysis of fractional-order systems
-Advances in software tools for simulation and control of delayed and fractional-order systems
-Soft computing techniques for robust and adaptive control in uncertain delayed systems
-Numerical techniques for synchronization and control of chaotic and hybrid systems
-Computational frameworks for fractional-order and distributed-order control systems
-Stochastic system modeling and simulation with time delays
-Delay-dependent Lyapunov-based methods for stability analysis and criteria development
-Applications of computational models in power systems, communication networks, and robotics
-AI-driven modeling and simulation of biological, biomedical, and ecological delayed systems
-Numerical methods for solving ordinary and partial differential equations with delays
-Cyber-physical system design and security analysis for delayed dynamics
-Data-driven and machine learning-based approaches for fractional-order system optimization
This Special Issue aligns with the journal's focus on Computational and Numerical Models of Engineering Problems, Development and Application of Numerical Methods, Advances in Software, Computer Design Innovations, Soft Computing, Machine Learning, and Artificial Intelligence. It aims to explore the theoretical foundations, computational advancements, and practical applications of time-delayed and fractional-order systems, ... show more
Editorial board
