Data Analytics Based Dual-Optimized Adaptive Model Predictive Control for the Power Plant Boiler

To control the furnace temperature of a power plant boiler precisely, a dual-optimized adaptive model predictive control (DoAMPC) method is designed based on the data analytics. In the proposed DoAMPC, an accurate predictive model is constructed adaptively by the hybrid algorithm of the least square...

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Veröffentlicht in:	Mathematical problems in engineering 2017-01, Vol.2017 (2017), p.1-9
Hauptverfasser:	Cao, Shengxian, Che, Ping, Zhang, Haiyang, Tang, Zhenhao, Zhao, Zhiyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive control Adaptive control systems Algorithms Analytics Boiler furnaces Data analysis Data mining Electric power Electric power generation Electric power plants Evolutionary algorithms Evolutionary computation Mathematical models Mathematical problems Methods Optimization Power plants Prediction models Predictive control Support vector machines Variables
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