In this paper is presented an approach of blast furnace knowledge-based control supported by mathematical models. The developed mathematical models are used for state observation, static simulation, and dynamic simulation. Fuzzy knowledge approach was used for the decision. Both the models and knowledge base are simultaneously used in the control system synthesis. The control alternatives are determined by means of knowledge base and can be tested by the model.