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Title |
Takagi-Sugeno Fuzzy Model for Greenhouse Climate |
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Author |
Imen Haj Hamad, Amine Chouchaine and Hajer Bouzaouache |
| Citation |
Vol. 24 No. 7 pp. 24-30 |
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Abstract |
This paper investigates the identification and modeling of a climate greenhouse. Given real climate data from greenhouse installed in the LAPER laboratory in Tunisia, the objective of this paper is to propose a solution of the problem of nonlinear time variant inputs and outputs of greenhouse internal climate. Based on fuzzy logic technique combined with least mean squares (lms) a robust greenhouse climate model for internal temperature prediction is proposed. The simulation results are presented to demonstrate the effectiveness of the identification approach and the power of the implemented Takagi-Sugeno Fuzzy model based Algorithm. |
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Keywords |
TS fuzzy modeling, Greenhouse climate, fuzzy clustering, Identification. |
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