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This paper proposes a novel model-free reinforcement learning (RL) control algorithm for a semi-active tunable vibration absorber (TVA) with nonlinear properties that are operated under nonstationary and multi-frequency excitations. The research addresses two critical challenges in vibration absorber control that are often treated separately: (i) the time-varying and nonlinear stiffness-damping characteristics, and (ii) the complex and nonstationary nature of real-world excitations. To address these challenges, a modified Q-learning algorithm is proposed by integrating vibration-domain knowledge derived from Parseval’s theorem and frequency response functions. This integration not only enables the controller to effectively minimize vibration energy without requiring an explicit model of the plant but also significantly reduces the computational complexity of the learning process. The proposed controller is experimentally validated under nonstationary multi-frequency excitation using a semi-active TVA with highly time-variant stiffness and damping properties. Experimental results demonstrated accurate real-time control performance, achieving an R-squared value of 0.994 compared to an optimal control baseline, and up to 58% reduction in vibration energy. These results provide strong evidence that reinforcement learning control strategies, when guided by vibration-domain knowledge, can offer generalizable, efficient, and adaptive solutions to complex mechanical vibration control problems.

Unlocking Asia's Economic Potential Through Industrial Clusters What drives economic growth in Asia? This study explores the power of industrial clusters—geographic concentrations of interconnected companies—in fostering innovation and competitiveness. Discover how these clusters, from Silicon Valley to Hsinchu Park, have fueled regional economies and what lessons they hold for future development. Is your region ready to thrive? Growing Industrial Clusters in Asia offers practical guidance for: * Understanding the nature and dynamics of successful clusters * Implementing effective policy measures to build and sustain clusters * Leveraging the experience of established and emerging clusters * Navigating the challenges of globalization and regional competition For policymakers, urban planners, business leaders, and researchers, this is an insightful resource for unlocking Asia's economic potential.