Deep reinforcement learning for semi-active structural control using a variable inerter device
Takehiko Asai
· Mechanical systems and signa... · 0 citations
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DRL is highlighted as a promising data-driven strategy for robust and adaptive control of nonlinear structural systems under partial observability by addressing a critical limitation of passive systems and accelerates the decay of residual vibrations.
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