SYNTHESIS OF NEURO-FUZZY NETWORK FOR STABILIZING TEMPERATURE IN PROCESS OF CONTINUOUS STERILIZATION
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 (detec...
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| Main Author: | |
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| Format: | Article |
| Language: | Russian |
| Published: |
North Caucasus Federal University
2022-05-01
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| Series: | Вестник Северо-Кавказского федерального университета |
| Subjects: | |
| Online Access: | https://vestnikskfu.elpub.ru/jour/article/view/1688 |
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| Summary: | 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. |
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| ISSN: | 2307-907X |