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- Publisher
- Springer Journals
- Copyright
- Copyright © Allerton Press, Inc. 2023. ISSN 0146-4116, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 1, pp. 27–36. © Allerton Press, Inc., 2023.
- ISSN
- 0146-4116
- eISSN
- 1558-108X
- DOI
- 10.3103/s0146411623010066
- Publisher site
- See Article on Publisher Site
Abstract
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.
Journal
Automatic Control and Computer Sciences – Springer Journals
Published: Feb 1, 2023
Keywords: extrapolation of data; neurocontroller; adaptive PID controller; parameter approximation; active identification; fuzzy logic; neural network