A hybrid physics-plus-neural-network model with an economic predictive controller reduces simulated shipboard carbon capture operating costs by 8.07% versus set-point tracking MPC.
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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization
A hybrid physics-plus-neural-network model with an economic predictive controller reduces simulated shipboard carbon capture operating costs by 8.07% versus set-point tracking MPC.