Abstract
In this paper, a car room temperature control method based on single user personalized comfort is proposed: Firstly, a smartphone application based on android platform is designed to collect user’s information and their personalized comfort dataset are established. Secondly, the DENFIS (Dynamic Evolving Neural-Fuzzy Inference System) method is used. This method helps to extract the fuzzy inference system and obtain the control targets according the dataset. Finally, MATLAB is used to verify the method. The result shows that the control target obtained by this method basically meets the needs of the user.
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Ye, N., Zhuang, Lh., Li, N. (2020). A Temperature Control Method for Car Room Based on Single User Personalized Comfort. In: Deng, Z. (eds) Proceedings of 2019 Chinese Intelligent Automation Conference. CIAC 2019. Lecture Notes in Electrical Engineering, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-32-9050-1_43
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DOI: https://doi.org/10.1007/978-981-32-9050-1_43
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