Deadline Date: 31 December 2026
Modern engineering systems such as manufacturing networks, energy systems, transportation infrastructures, communication networks, and reliability-driven industrial processes exhibit complex dynamical behavior influenced by uncertainty, memory effects, time delays, and nonlinear interactions. Classical integer-order and deterministic models often fail to capture these features accurately, motivating the use of advanced computational and mathematical modelling techniques.
This Special Issue aims to bring together recent advances in fractional-order, stochastic, delayed, fuzzy, and hybrid computational models with a strong emphasis on engineering applications and interdisciplinary engineering research. The focus is on the development, analysis, and numerical simulation of models that enhance the understanding, prediction, optimization, and control of complex engineering systems. Contributions addressing engineering-inspired dynamical systems, innovative numerical algorithms, high-performance computing implementations, and data-assisted computational frameworks are particularly encouraged. The Special Issue welcomes both theoretical developments supported by engineering relevance and applied studies motivated by real-world engineering problems.
The following subtopics are of particular interest, including but not limited to:
Fractional-order and memory-dependent models in engineering systems
Stochastic modelling of engineering processes and reliability systems
Delay differential models in control systems, production networks, and communication systems
Hybrid deterministic–stochastic frameworks for complex engineered systems
Quantum-inspired and computationally enhanced methods for engineering optimisation
Numerical algorithms for engineering dynamics (NSFD, Runge–Kutta, spectral and meshless methods)
Stability, bifurcation, and control analysis of nonlinear engineering models
Data-driven, AI-assisted, and machine-learning-enhanced computational engineering models
Applications to manufacturing systems, logistics, transportation, energy networks, and industrial processes
Software tools, simulation platforms, and high-performance computing for engineering modelling
Editorial board
