Green houses play a vital role in modern agriculture. Artificial light illumination is very important in a green house. While light is necessary for plant growth, excessive light in a green house may not bring more profit and even damages plants. Developing a plant-physiology-based light control strategy in a green house is important, which implies that a state-space model on photosynthetic activities is very useful because modern control theories and techniques are usually developed according to model structures in the state space. In this work, a simplified model structure on photosystem II activities was developed with seven state variables and chlorophyll fluorescence (ChlF) as the observable variable. Experiments on ChlF were performed. The Levenberg-Marquardt algorithm was used to estimate model parameters from experimental data. The model structure can fit experimental data with a small relative error (<2%). ChlF under different light intensities were simulated to show the effect of light intensity on ChlF emission. A simplified model structure with fewer state variables and model parameters will be more robust to perturbations and model parameter estimation. The model structure is thus expected useful in future green-house light control strategy development.

中文翻译：

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光系统 II 叶绿素荧光从暗适应状态到光适应状态转变的建模与模拟。

温室在现代农业中起着至关重要的作用。人造光照明在温室中非常重要。虽然光是植物生长所必需的，但温室中过多的光可能不会带来更多的利润，甚至会损害植物。在温室中开发基于植物生理学的光控制策略很重要，这意味着光合活动的状态空间模型非常有用，因为现代控制理论和技术通常是根据状态空间中的模型结构开发的。在这项工作中，开发了一个关于光系统 II 活动的简化模型结构，其中七个状态变量和叶绿素荧光 (ChlF) 作为可观察变量。对 ChlF 进行了实验。Levenberg-Marquardt 算法用于从实验数据估计模型参数。该模型结构能够以较小的相对误差（<2%）拟合实验数据。模拟不同光强下的 ChlF 以显示光强对 ChlF 发射的影响。具有较少状态变量和模型参数的简化模型结构将对扰动和模型参数估计更加稳健。因此，该模型结构有望在未来的温室光控制策略开发中发挥作用。