Recent Articles and Multimedia
Paper Title: Hybrid Data-enabled Predictive Control: Incorporating model knowledge into the DeePC
Authors: Jeremy Watson
This paper bridges the gap between model predictive control (requiring full model knowledge) and data-enabled predictive control (requiring no model knowledge) by incorporating partial model knowledge into the latter. The proposed hybrid data-enabled predictive control is investigated theoretically, and validated numerically through case studies which demonstrate its potential as a promising alternative to pure data-driven or model-based approaches.
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Illustration of the formulation used in Hybrid Data-Enabled Predictive Control, which allows partial model knowledge to be incorporated into data-driven predictive control.