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.
· Journal of Vibration and Con... · 0 citations