An efficient latent variable optimization approach with stochastic constraints for complex industrial process

Zhengshun Fei; Kangling Liu; Bin Hu; Jun Liang

doi:10.1016/j.cjche.2015.05.009

Your Location：

Home >

Browse articles >

An efficient latent variable optimization approach with stochastic constraints for complex industrial process

过程系统工程与过程安全 | Updated：2026-01-06

- An efficient latent variable optimization approach with stochastic constraints for complex industrial process
- Chinese Journal of Chemical Engineering Vol. 23, Issue 10, Pages: 1670-1678(2015)
- Affiliations：
  
  1. 2 State Key Lab of Industrial Control Technology, Institute of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University,Hangzhou,China,310027
  2. 3 Department of Electrical Engineering, University of Notre Dame, Notre Dame,IN,USA,46556
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.05.009
  CLC：
- Published：2015
- Accepted：
Scan QR Code
Zhengshun Fei, Kangling Liu, Bin Hu, Jun Liang. An efficient latent variable optimization approach with stochastic constraints for complex industrial process[J]. Chin.J.Chem.Eng., 2015, 23(10): 1670-1678.
DOI：

Zhengshun Fei, Kangling Liu, Bin Hu, Jun Liang. An efficient latent variable optimization approach with stochastic constraints for complex industrial process[J]. Chin.J.Chem.Eng., 2015, 23(10): 1670-1678. DOI： 10.1016/j.cjche.2015.05.009.

摘要

Abstract

For complex chemical processes

process optimization is usually performed on causalmodels fromfirst principle models. When the mechanism models cannot be obtained easily

restricted model built by process data is used for dynamic process optimization. A new strategy is proposed for complex process optimization

in which latent variables are used as decision variables and statistics is used to describe constraints. As the constraint condition will be more complex by projecting the original variable to latent space

Hotelling T

statistics is introduced for constraint formulation in latent space. In this way

the constraint is simplified when the optimization is solved in low-dimensional space of latent variable. The validity of the methodology is illustrated in pH-level optimal control process and practical polypropylene grade transition process.

关键词

Keywords

references

Views

180

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Optimizing energy efficiency in fluid catalytic cracking units with GA and NSGA-II: A comprehensive simulation and multi-factor analysis

Enhancing corrosion resistance of heat-assisted forming titanium bipolar plate for proton exchange membrane fuel cell through optimized heat treatment

Novel intensification strategy for the liquid-only transfer dividing wall column separating ternary mixtures based on the column grand composite curve

Source term estimation of hazardous gas leakages under turbulent atmospheric transport dispersion scenarios

Design and optimization of microalgae photobioreactors for treatment of nitrogen and phosphorus in wastewater

Related Author

Han Rui

Guan Qingshan

Gu Leqi

Sun Xiaoyan

Tophet Wongladprom

Vissanu Meeyoo

Xia Li

Xiang Shuguang

Related Institution

College of Chemical Engineering, Qingdao University of Science and Technology

Anhui Metaenergy Technologies Co., Ltd

Center of Ionic Liquid and Green Energy, Beijing Key Laboratory of Solid State Battery and Energy Storage Process, State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering, Chinese Academy of Sciences

Center for Advanced Materials and Environmental Research, Mahanakorn University of Technology

UTM-QUST Satellite Lab, Faculty of Chemical Engineering, Universiti Teknologi Malaysia

⁰