A Takagi-Sugeno Fuzzy Model for Greenhouse Climate-Reference-Cited by-同舟云学术

A Takagi-Sugeno Fuzzy Model for Greenhouse Climate

Published:2021-08-21 Issue:4 Volume:11 Page:7424-7429
ISSN:1792-8036
Container-title:Engineering, Technology & Applied Science Research
language:
Short-container-title:Eng. Technol. Appl. Sci. Res.

Author:

Haj Hamad I.,Chouchaine A.,Bouzaouache H.^ORCID

Abstract

This paper investigates the identification and modeling of a greenhouse's climate using real climate data from a greenhouse installed in the LAPER laboratory in Tunisia. The objective of this paper is to propose a solution to the problem of nonlinear time-variant inputs and outputs of greenhouse internal climate. Combining fuzzy logic technique with Least Mean Squares (LMS), a robust greenhouse climate model for internal temperature prediction is proposed. The simulation results demonstrate the effectiveness of the identification approach and the power of the implemented Takagi-Sugeno Fuzzy model-based algorithm.

Publisher

Engineering, Technology & Applied Science Research

Reference27 articles.

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