A More Efficient Iterative Learning Control for Anaerobic Digestion Process Set Point Tracking

To improve accuracy and efficiency of the set value tracking in anaerobic digestion process for wastewater treatment, a fast and high accurate ILC algorithm-closed loop iterative learning control is proposed. The introduced ILC utilizes m-accretive mapping theory to ensure the uniqueness of desired control input and a rigorous mathematical proof guarantees convergence of tracking error, at the same time the effectiveness of the proposed method is presented by simulations.