Deadline Date: 31 December 2025
Introduction:
The accurate modeling and prediction of complex behaviors in dynamical systems remain critical challenges across various science and engineering disciplines. Recent advancements in computational and numerical methods have significantly enhanced the ability to simulate, analyse, and control these systems with greater precision and efficiency. This Special Issue aims to explore cutting-edge computational techniques that address key challenges in system behaviour, advancing both theoretical understanding and practical applications.
Aims and Scope:
The objective of this Special Issue is to provide a platform for original research on computational and numerical techniques with various applications related to modeling, analysis, optimization, etc., in dynamical systems to understand the behavior and design of these challenging systems. Contributions that advance the understanding of dynamical systems, while also addressing critical aspects such as performance optimization, system reliability, and long-term sustainability, will be of particular interest. Contributors are encouraged to emphasize both theoretical innovation and practical relevance.
Specific areas of interest include, but are not limited to:
Mechanical vibration, stability, and structural health monitoring
Dynamic modelling of composite, adaptive, and smart materials
Simulation of robotic manipulators and flexible mechanical systems
Hybrid numerical and AI-based methods for system analysis
Optimization of dynamical systems for performance and reliability
Stability, bifurcation, and transient analysis in complex dynamical systems
Fuzzy logic, uncertainty quantification, and stochastic analysis
Applications in biomechanics, environmental dynamics, and epidemiological modeling
The accurate modeling and prediction of complex behaviors in dynamical systems remain critical challenges across various science and engineering disciplines. Recent advancements in computational and numerical methods have significantly enhanced the ability to simulate, analyse, and control these systems with greater precision and efficiency. This Special Issue aims to explore cutting-edge ... show more
Editorial board
