.png){kind=icon}
.png){kind=icon}
Return
Metacontrol: A Python based application for self-optimizing control using metamodels
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2020.106979.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this contribution, a detailed description of a Python based application tool that enables fast implementation of the Self-Optimizing Control (SOC) technology with the help of surrogate models is presented. The paper also outlines the potential uses of the Metacontrol (from Metamodel-based self-optimizing control) software through case studies of representative test-bed industrial processes. As a result, an indepth analysis of Metacontrol from a plantwide control perspective is discussed, together with recommendations for use. The data, examples, and the Metacontrol source code are available for download at httes:egithubeem/feslima/metacontrol. (c) 2020 Elsevier Ltd. All rights reserved.
Keywords:
Plantwide control
Self-Optimizing control
Kriging
Python
Software
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
3.9
Papers:
8.1K
Citations:
1.7W