A dual-control MPC framework is introduced that separates tracking and feedforward actions to enable complete rejection of measurable disturbances while preserving effort penalties and constraints.
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Unlocking feedforward capabilities in Model Predictive Control algorithms to deal with measurable disturbances
A dual-control MPC framework is introduced that separates tracking and feedforward actions to enable complete rejection of measurable disturbances while preserving effort penalties and constraints.