Learning Adaptive Semi-Supervised Multi-Output Soft-Sensors With Co-Training of Heterogeneous Models
Abstract: Soft-sensors are widely utilized for predictions of important but hard-to-measure variables in industrial processes. However, significant variations, process uncertainties, negative ...
Abstract: This letter presents a robust output feedback variable-horizon model predictive control scheme for systems in which the state is not directly available but is estimated from noisy ...
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