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Aiming at the control and optimization problem of blast furnace gas (BFG) systems in the steel industry, a knowledge-based optimal control algorithm combining fuzzy rules extraction with neural networks (NNs) ensemble-based prediction is proposed. On one hand, a fuzzy model is designed to extract the expert control knowledge from the historical data of the industrial process after community detection,...
This paper investigates the deployment of collaborative estimation and actuation scheme of wireless sensor and actuator networks for the agriculture industry. In our proposed scheme, sensor nodes conduct a local estimation based on the Kalman filter for enhancing the estimation stability and further transmit data to the actuator nodes under a multi-rate transmission mode for enhancing the overall...
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