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This article proposes a sparse partial least squares (SPLS) for model calibration of dynamic processes. Via capturing the relationship of process inputs and measurements at different sampling instances, partial least squares (PLS) is a typical multivariable statistical process control technique to model dynamic processes. However, due to rare process(More)
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