Design Adaptive Non-Linear PID Control Using Reinforcement Learning for Optimal Autonomous Greenhouse Microclimate Regulation

A greenhouse (GH) system is a multi-input/multi-output (MIMO), dynamic, and energy-intensive environment that requires precise control for achieving optimal plant growing while minimizing energy consumption. Energy consumed by a GH system has indirect effects on the overall profitability. Determinin...

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Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics Jg. 29; H. 6; S. 1464 - 1483
Hauptverfasser:	Abbood, Hayder M., Alagheband, Seyed Hamed Seyed, Imran, Amer Matrood, Ali, Salah Mahdi, Hassan, Murtadha A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Fuji Technology Press Co. Ltd 20.11.2025
Schlagworte:	Correlation coefficients Dynamical systems Energy consumption Energy efficiency Machine learning Microclimate Neural networks Nonlinear control Nonlinear systems Optimal control Optimization Proportional integral derivative Radial basis function
ISSN:	1343-0130, 1883-8014
Online-Zugang:	Volltext
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