Selection Method of Effective Combination between Controlled Variables and Manipulating Variables

New Filter method for categorical variables’ selection

It is worth noting that the variable-selection process has become an increasingly exciting challenge, given the dramatic increase in the size of databases and the number of variables to be explored and modelized. Therefore, several strategies and methods have been developed with the aim of selecting the minimum number of variables while preserving as much information for the interest variable o...

Combination of measurements as controlled variables for self-optimizing control

A new method for selecting controlled variables (c) as linear combination of measurements (y) is proposed based on the idea of self-optimizing control. The objective is to find controlled variables, such that a constant setpoint policy leads to near optimal operation in the presence of low frequency disturbances (d). We propose to combine as many measurements as there are unconstrained degrees ...

Relationship between Positive Variables and Stress

Controlled Variables Selection for Liquefied Natural Gas Plant

The primary operational objective of liquefied natural gas (LNG) plants with low production capacity is to maximize LNG production. A robust control structure is required to meet economic objective while ensuring safety of the plant. The selection of appropriate controlled variables (CVs) is critical for design of the control structure. In this paper, general process understanding and the conce...

Forward selection of explanatory variables.

This paper proposes a new way of using forward selection of explanatory variables in regression or canonical redundancy analysis. The classical forward selection method presents two problems: a highly inflated Type I error and an overestimation of the amount of explained variance. Correcting these problems will greatly improve the performance of this very useful method in ecological modeling. T...