A Takagi-Sugeno Fuzzy Model for Greenhouse Climate
نویسندگان
چکیده
This paper investigates the identification and modeling of a greenhouse's climate using real data from greenhouse installed in LAPER laboratory Tunisia. The objective this is to propose solution problem nonlinear time-variant inputs outputs internal climate. Combining fuzzy logic technique with Least Mean Squares (LMS), robust model for temperature prediction proposed. simulation results demonstrate effectiveness approach power implemented Takagi-Sugeno Fuzzy model-based algorithm.
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ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2021
ISSN: ['1792-8036', '2241-4487']
DOI: https://doi.org/10.48084/etasr.4291