Control Theory and Applications, 3rd Edition

Dear Colleagues,

We are pleased to introduce the third volume of this Special Issue, "Control Theory and Applications". Following the impactful contributions in the first two editions, this third volume will continue to bridge advanced mathematical theory with real-world engineering challenges, offering a platform for innovative research in control systems.

This edition will maintain a strong focus on both foundational methods and emerging trends, including data-driven control, AI-enhanced system design, and resilient control strategies for complex dynamic environments. We also aim to emphasize applications in robotics, biomedical engineering, industrial automation, and sustainable energy systems—areas where control theory plays an increasingly vital role.

Topics of interest include, but are not limited to, the following:

    Intelligent control systems using machine learning and AI;

    Modeling and control of fractional-order, stochastic, and distributed parameter systems;

    Advanced numerical simulation and digital twin technologies;

    Control of networked, multi-agent, and cyber-physical systems;

    Robotics, mechatronics, and autonomous system control;

    Biomedical and bio-inspired control systems;

    Energy system optimization and grid control;

    Adaptive, robust, and model predictive control strategies;

    Real-time control applications in industrial and soft processes.

We invite researchers and practitioners to contribute their latest findings and developments in this rapidly evolving field. Your contributions will help shape the next generation of control methodologies and expand the frontiers of applied mathematics and engineering.

We look forward to your participation in this continued exploration of control theory and its transformative applications.

Prof. Dr. Mihail Ioan Abrudean
Dr. Vlad Muresan
Guest Editors

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• mathematical modelling
• mathematical methods
• control theory
• numerical simulation
• artificial intelligence
• neural networks
• industrial applications
• identification
• advanced control
• controller design
• distributed parameter processes
• unconventional processes
• energy systems
• fractional-order systems
• robotic systems
• biomedical systems