Title :
A More Efficient Iterative Learning Control for Anaerobic Digestion Process Set Point Tracking
Author :
Xiangjie Liu; Huimin Xu; Xuedong Zhang
Author_Institution :
Dept. of Control &
Abstract :
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.
Keywords :
"Yttrium","Iterative learning control","Process control","Hilbert space","Wastewater treatment","Feeds","Steady-state"
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN :
978-1-4799-8645-3
DOI :
10.1109/IHMSC.2015.136
