SYNTHESIS OF NEURO-FUZZY NETWORK FOR STABILIZING TEMPERATURE IN PROCESS OF CONTINUOUS STERILIZATION

2022

Вестник Северо-Кавказского федерального университета, Vol 0, Iss 5, Pp 21-28 (2022)

To synthesize a neuro-fuzzy network of stabilizing temperature there is a view on the development of a base of rules for a fuzzy controller taking into account the optimal object management and training of a hybrid neural network. The optimal trajectory was accepted as the performance-optimal (detected by the maximum principle) management for a closed loop system for automatic management. There has been a transition made from the temporary area where the optimal management has been found, to the phase plane of the system, which allowed a direct use of the solution to develop a rule base for a fuzzy controller. There has been a neuro-fuzzy network (Adaptive-Network-Based Fuzzy Inference System - ANFIS) employed to develop a temperature stabilization system for sterilization with two management influences.

article

Russian

North Caucasus Federal University, 2022.

нейро-нечеткая система, стабилизация температуры, оптимальная траекто-рия, база правил, обучение нейронной сети, моделирование, neuro-fuzzy network, temperature stabilization, optimal trajectory, rule base, neural network training, simulation, Economics as a science, HB71-74