Fuzzy Logic Control for Color-Tunable Lighting Systems-Reference-Cited by-同舟云学术

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Fuzzy Logic Control for Color-Tunable Lighting Systems

Published:2023 Issue: Volume: Page:744-750
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Imamguluyev Rahib^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-39777-6_87

Reference14 articles.

1. Ruggiero, S., De Masi, R.F., Assimakopoulos, M.N., Vanoli, G.P.: Energy saving through building automation systems: experimental and numerical study of a smart glass with liquid crystal and its control logics in summertime. Energy Build. 273, 112403 (2022). ISSN 0378-7788. https://doi.org/10.1016/j.enbuild.2022.112403

2. Wagiman, K.R., et al.: Lighting system control techniques in commercial buildings: current trends and future directions. J. Build. Eng. 31, 101342 (2020). ISSN 2352-7102. https://doi.org/10.1016/j.jobe.2020.101342

3. Pekur, D., Sorokin, V.M., Nikolaenko, Y.: Determination of optical parameters in quasi-monochromatic LEDs for implementation of lighting systems with tunable correlated color temperature. Semicond. Phys. Quant. Electron. Optoelectron. 25(3), 303–314 (2022). https://doi.org/10.15407/spqeo25.03.303

4. Imam, M.H.T., Afshari, S., Mishra, S.: An experimental survey of feedback control methodologies for advanced lighting systems. Energy Build. 130, 600–612 (2016). ISSN 0378-7788. https://doi.org/10.1016/j.enbuild.2016.08.088

5. Kahraman, C., Cebi, S., Onar, S.Ç., Öztayşi, B.: Recent developments on fuzzy AHP&ANP under vague and imprecise data: evidence from INFUS conferences. Int. J. Anal. Hierar. Process 14(2) (2022). https://doi.org/10.13033/ijahp.v14i2.1033

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