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Ru-Qing Liu

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Open access Aug 2026

Fusion of adaptive decoupling control and deep reinforcement learning for intelligent waste heat recovery

The proposed NMMC-DRL strategy is evaluated through comprehensive simulations and physical experiments on a Roots-expander-based waste heat recovery platform and shows effectiveness in improving disturbance rejection, tracking accuracy, and operational robustness.

Yanjun Xiao, Ru-Qing Liu, Weiling Liu et al. · 0 citations