Learning-Based Tuning of Supervisory Model Predictive Control for Drinking Water Networks

Publication journal: Engineering Applications of Artificial Intelligence. Volume 26, Issue 7, August 2013, Pages 1741–1750 Authors:  J.M. Grosso , C. Ocampo-Martínez, V. Puig This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The

Read More…