Akademik Veri Yönetim Sistemi
Studies in Systems, Decision and Control, Springer International Publishing Ag, ss.151-167, 2026
In recent years, the application of Artificial Intelligence (AI) in structural vibration control has gained increasing attention, driven by the need for more adaptive, efficient, and robust solutions in civil engineering. This chapter provides a focused review of research developments in this domain, with particular emphasis on the use of fuzzy logic systems—including both Type-1 and Type-2 fuzzy controllers—in active and semi-active control strategies. These advancements are helping address the growing complexity of structural behavior under dynamic conditions, allowing for more precise and reliable control mechanisms. Additionally, this chapter examines the role of optimization techniques in various aspects of vibration control, such as the tuning of control parameters, actuator design, and actuator placement. The growing integration of AI-based approaches, especially in the design and optimization of control systems, has opened new possibilities for enhancing structural performance under dynamic loading. By leveraging advanced computational methods, these techniques enable real-time adjustments that optimize system efficiency and performance. Moreover, the chapter discusses recent efforts in the development of intelligent control methodologies, offering insights into emerging trends and future directions for AI-driven vibration mitigation strategies.