Development of a Neuro-Fuzzy Intelligent Network for Monitoring and Control of Microclimate Systems-Reference-Cited by-同舟云学术

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

Published:2023-02 Issue:1 Volume:57 Page:27-36
ISSN:0146-4116
Container-title:Automatic Control and Computer Sciences
language:en
Short-container-title:Aut. Control Comp. Sci.

Author:

Kharchenko R. Yu.,Mykhailenko V. S.,Kochetkov A. V.

Publisher

Allerton Press

Subject

Signal Processing,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.3103/S0146411623010066.pdf

Reference24 articles.

1. Suliman, A., Uskenbayeva, R., and Altayeva, A., Applying neuro-fuzzy model in indoor comfort microclimate control, 8th Int. Conf. on Information Technology and Multimedia (ICIMU), Selangor, Malaysia, 2020, IEEE, 2020, pp. 177–182. https://doi.org/10.1109/icimu49871.2020.9243606

2. Lin, Y.-C. and Nguyen, H.L.T. Adaptive neuro-fuzzy predictor-based control for cooperative adaptive cruise control system, IEEE Trans. Intell. Transp. Syst., 2020, vol. 21, no. 3, pp. 1054–1063. https://doi.org/10.1109/tits.2019.2901498

3. Nath, V. and Sambariya, D.K., Design and performance analysis of adaptive neuro fuzzy controller for load frequency control of multi-power system, 10th Int. Conf. on Intelligent Systems and Control (ISCO), Coimbatore, India, 2016, IEEE, 2016, pp. 1–7. https://doi.org/10.1109/isco.2016.7726986

4. Altayeva, A. B., Omarov, B.S., and Cho, Y.I., Intelligent microclimate control system based on IoT, Int. J. Fuzzy Logic Intell. Syst., 2016, vol. 16, no. 4, pp. 254–261. https://doi.org/10.5391/ijfis.2016.16.4.254

5. Liu, X., Zhang, H., Niu, Y., Zeng, D., Liu, J., Kong, X., and Lee, K.Y., Modeling of an ultra-supercritical boiler-turbine system with stacked denoising auto-encoder and long short-term memory network, Inf. Sci., 2020, vol. 525, pp. 134–152. https://doi.org/10.1016/j.ins.2020.03.019

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