International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Takagi-Sugeno Fuzzy Model for Greenhouse Climate

  • Imen Haj Hamad (LARA, National Engineering School of Carthage, University of Carthage) ;
  • Amine Chouchaine (UR-LAPER, Faculty of Sciences of Tunis, University of Tunis EL Manar) ;
  • Hajer Bouzaouache (LARA, National Engineering School of Tunis, University of Tunis El Manar)
  • Received : 2024.07.05
  • Published : 2024.07.30
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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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References

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