Hybrid Intelligent Control for a Wastewater Treatment Prototype
Résumé
This paper presents a hybrid intelligent control based on nonlinear PI controller and a recurrent high order neural network (RHONN) identifier. This control scheme is applied to a wastewater treatment prototype. The hybrid intelligent control and neuronal identification performance is illustrated via simulations.