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Browsing by Author "Ye, Lingjian"

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Branch and bound method for regression-based controlled variable selection

Kariwala, Vinay; Ye, Lingjian; Cao, Yi (Elsevier, 2013-03-27)

Self-optimizing control is a promising method for selection of controlled variables (CVs) from available measurements. Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of ...
Global approximation of self-optimizing controlled variables with average loss minimization

Ye, Lingjian; Cao, Yi; Yuan, Xiaofeng (American Chemical Society, 2015-11-23)

Self-optimizing control (SOC) constitutes an important class of control strategies for real-time optimization (RTO) of chemical plants, by means of selecting appropriate controlled variables (CVs). Within the scope of SOC, ...
Global self-optimizing control for uncertain constrained process systems

Ye, Lingjian; Cao, Yi; Skogestad, Sigurd (Elsevier, 2017-10-18)

Self-optimizing control is a promising control strategy to achieve real-time optimization (RTO) for uncertain process systems. Recently, a global self-optimizing control (gSOC) approach has been developed to extend the ...
Retrofit self-optimizing control of Tennessee Eastman process

Ye, Lingjian; Cao, Yi; Yuan, Xiaofeng; Song, Zhihuan (Institute of Electrical and Electronics Engineers, 2016-05-19)

This paper considers near-optimal operation of the Tennessee Eastman (TE) process by using a retrofit self-optimizing control (SOC) approach. Motivated by the factor that most chemical plants in operation have already been ...
Subset measurement selection for globally self-optimizing control of Tennessee Eastman process

Ye, Lingjian; Cao, Yi; Yuan, Xiaofeng; Song, Zhihuan (Elsevier, 2016-08-09)

The concept of globally optimal controlled variable selection has recently been proposed to improve self-optimizing control performance of traditional local approaches. However, the associated measurement subset selection ...

Browsing by Author "Ye, Lingjian"

Browsing by Author "Ye, Lingjian"

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