Based on theories of random processes, games and the adoption of statistical solutions have been developed energy-efficient automation systems for a complex biotechnical object - a poultry house, where the use of intelligent algorithms is foreseen for the formation of management strategies. The application of such a system leads to a decrease of the energy component in the structure of the cost of products down to 13%. The core of such a system is the knowledge base, the production rules of which allow to predict natural perturbations on the poultry house, and, using the payment matrix and the Hurwitz criterion, choose the best management strategy of the electrical engineering complex of the poultry, which maximizes the profit of production.
natural perturbation, automation, intellectual control system, payment matrix, Hurwitz criterion