Advanced Model Predictive Control and Intelligent Actuation for Multi-Agent and Complex Systems

Dear Colleagues,

This Special Issue seeks to bring together novel research and its applications in model predictive control (MPC) and intelligent actuation systems, with a strong focus on multi-agent systems (MASs) and complex, interconnected environments. The articles published will address cutting-edge MPC strategies for MASs, such as distributed and adaptive MPC, which optimizes control actions across multiple agents under real-world constraints. A key area of interest is the development of resilient actuation mechanisms that continue to function effectively amidst communication delays, environmental changes, or faults, which are essential for critical applications like autonomous driving, industrial automation, and medical robotics. Emphasis will also be placed on emerging technologies for MAS stability, such as coalition-based control, topology switching, and resource-efficient predictive control strategies. Integration with artificial intelligence (AI) and machine learning (ML) will also be explored, offering new perspectives on hybrid MPC models and data-driven predictive control. Their applications may span Industry 4.0, autonomous vehicles, smart manufacturing, and robotics. This Special Issue will serve as a resource for those advancing predictive control and actuation technologies, particularly in systems that require real-time adaptability, robustness, and minimal resource consumption.

Dr. Constantin Caruntu
Dr. Anca Maxim
Guest Editors

Manuscript Submission Information

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