Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.
Abstract: The standard principal component analysis (PCA) plays an important role in feature selection. However, the traditional principal component selection (PCS) criteria may not be able to select ...
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