Hybrid time-data-driven control for biological cellular systems

This paper proposes a hybrid time-data-driven control to regulate biological activities of cellular systems. The proposed control framework integrates data-driven, time-driven and feed forward controls into a hybrid framework. In principle, the proposed control can be used for tracking control of nonlinear systems with limited measurements. To show the effectiveness of the proposed control, we have used it to externally regulate activities of the GAL network in yeast.