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- W2390417779 abstract "【Objective】The constrained predictive control model presented aims at the problems in greenhouse temperature control,such as uncertain parameters,time delays and physical limitation of the regulate facilities.【Method】The model of greenhouse temperature control was set up by system identification. This model included not only the external weather conditions but also the inside regulation and control facility. The greenhouse roof ventilation cooling processes were controlled based on MPC method with the constraints of roof vent opening and temperature requirements for the crop growth.【Result】It was showed that from the simulation experiment,the fit was 94. 53% between the 3 step predictive output of the ARX model and the measured data. The root-mean-square error of greenhouse temperature control was 0. 38℃ in the night and 4. 6℃ in the daytime by the constrained MPC method. The internal temperature changed smoothly and accurately according to the set points.【Conclusion】This method was suitable for the greenhouse temperature control and of good application value." @default.
- W2390417779 created "2016-06-24" @default.
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- W2390417779 date "2014-01-01" @default.
- W2390417779 modified "2023-09-24" @default.
- W2390417779 title "Constrained Predictive Control Model for Greenhouse Temperature" @default.
- W2390417779 hasPublicationYear "2014" @default.
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