The journal serves as a leading international platform for scholars and engineers working at the intersection of mechanics, control theory, systems engineering, and advanced digital technologies, including big data analytics, artificial intelligence, and machine learning. The journal covers a broad spectrum of modern scientific disciplines, ranging from fundamental areas of mechanics to advanced topics in automatic control theory. It publishes innovative research contributing to the development of both theoretical foundations and practical applications in these rapidly evolving fields. Papers presenting recent advances in analytical models, computational algorithms, and experimental methods, including those enhanced by Artificial Intelligence and Big Data technologies, are highly encouraged.

The editorial board welcomes research in computational and experimental mechanics, automatic control theory, and systems engineering, with a focus on developing and refining methods for designing high-performance control systems. Key areas of interest include, but are not limited to:

• Mathematical modeling and system identification
• Robustness analysis and optimization
• Control law synthesis
• Numerical analysis and fault diagnosis
• Mechatronic and robotic systems
• Data interpretation and object identification
• Multiscale modeling and simulation
• Advanced experimental techniques
• Fracture and damage mechanics
• Fluid-structure interaction
• Characterization and analysis of material properties

The journal highly values papers demonstrating the integration of multiple methodologies to address complex engineering challenges and fostering interdisciplinary collaboration through advanced computational technologies. Accepted publication formats include review articles, original research, brief communications, technical notes on novel experimental methods, coverage of scientific events, and special thematic issues.