Advanced Applications of AI-Driven Structural Control

Dear Colleagues,

Structural control has entered a transformative era driven by rapid advances in artificial intelligence, data analytics, and smart sensing technologies. As modern infrastructure faces increasing demands—ranging from extreme climate events and aging materials to complex dynamic loading—AI-enabled strategies are reshaping how we monitor, assess, and control the behavior of civil, mechanical, and aerospace structures. The integration of machine learning, deep learning, reinforcement learning, digital twins, and high-fidelity numerical simulations is enabling unprecedented improvements in accuracy, decision speed, adaptability, and resilience. These innovations support the development of intelligent systems capable of predicting structural responses, optimizing control actions in real time, and autonomously recommending maintenance strategies. As a result, AI-driven structural control is emerging as a cornerstone of next-generation smart infrastructure. This Special Issue aims to gather high-quality, cutting-edge research exploring novel theories, algorithms, experimental validations, and real-world applications of AI in structural control. We encourage contributions that advance fundamental understanding, propose innovative hybrid AI–mechanics methods, and demonstrate the practical potential of intelligent control systems across engineering domains.

Dr. Abdelwahhab Khatir
Dr. Samir Khatir
Prof. Dr. Roberto Capozucca
Guest Editors

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