Development of a Neuro-Fuzzy Intelligent Network for Monitoring and Control of Microclimate Systems

被引：0
|
作者：
Kharchenko, R. Yu. [1 ]
Mykhailenko, V. S. [2 ]
Kochetkov, A. V. [3 ]
机构：
[1] Natl Univ Odessa Maritime Acad, Maritime Radiocommun Chair, UA-65029 Odessa, Ukraine
[2] Natl Univ Odessa Maritime Acad, Dept Elect Equipment & Automation Ships, UA-65029 Odessa, Ukraine
[3] Odessa Natl Maritime Univ, Dept Elect Equipment, UA-65029 Odessa, Ukraine
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2023年 / 57卷 / 01期
关键词：
extrapolation of data; neurocontroller; adaptive PID controller; parameter approximation; active identification; fuzzy logic; neural network;
D O I：
10.3103/S0146411623010066
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Problems in the construction of a neuro-fuzzy network for control and monitoring of parameters of microclimate systems based on expert data are considered. A method for intelligent identification and adaptation of the control object is proposed. This allows maintaining high accuracy of the specified parameters for different operating modes of the system and reducing the complexity of control. Software has been developed that implements the proposed network. Computer simulations have shown the ability of the network to self-learn based on expert experience and an error propagation backward algorithm.
引用
收藏
页码：27 / 36
页数：10
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