title: Comparison of predictive control methods for high consumption industrial furnace.
abstract: We describe several predictive control approaches for high consumption industrial furnace control. These furnaces are major consumers in production industries, and reducing their fuel consumption and optimizing the quality of the products is one of the most important engineer tasks. In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. On the basis of the analysis, some important conclusions have been drawn.
authors: Department of Automation and System Engineering, Faculty of Electrical Engineering and Information Technologies, Saints Cyril and Methodius University in Skopje, ul. Ruger Boskovic bb., 1000 Skopje, Macedonia.
authors: Goran
authors: G
authors: Stojanovski
authors: Mile
authors: M
authors: Stankovski
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000465:Algorithms; D011237:Predictive Value of Tests; D053260:Soot / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D053260:Soot