The method of optimal control of the smelting process of copper nickel-containing raw materials in furnaces Vanyukov

In this paper we propose an algorithm of optimal control of melting process of copper nickel raw material in furnaces Vanyukov based on the method of Bellman's dynamic programming. To construct a multi-step management process developed by the authors used neural network model of the melting furnaces Vanyukov. The criterion selected for optimality for a minimum loss of non-ferrous metals smelting process. To reduce the amount of calculations the authors propose to enter the grouping of states of the process by loss of non-ferrous metals at a fixed time.