Computational Response Control in Structures: Theory, Optimization, and Artificial Intelligence Application integrates theory, optimization techniques, and artificial intelligence (AI) applications to provide a thorough understanding of various control methods, including passive, semi-active, active, and hybrid, as well as other specific structural types such as low-rise and high-rise buildings, bridges, and other structures. The role of AI in structural control, optimization techniques for enhancing control performance, and the emergence of smart structures are each discussed as well, with a focus on combining theoretical foundations with practical applications, showcasing case studies and real-world examples to illustrate the implementation of control systems.

How machine learning models can be leveraged to improve the performance of metaheuristic techniques is outlined, and the integration of AI and optimization techniques into structural control is highlighted, equipping readers with the knowledge and tools needed to develop efficient control strategies for a wide range of structures and enabling them to address the complexities and uncertainties encountered in structural control applications.

• Provides fundamental knowledge in structural control with a focus on the integration of theory, optimization techniques, and artificial intelligence (AI)
• Covers passive, semi-active, active, and hybrid control, as well as specific structural types such as low-rise and high-rise buildings, bridges, and other structures
• Discusses the role of AI in structural control, optimization techniques for enhancing control performance, and the emergence of smart structures