Multiplexed Model Predictive Control Weighting Selection using Genetic Algorithm

被引：0

作者：

Joelianto, Endra ^{[1
]}

Hernawan, Fikri M. ^{[1
]}

机构：

[1] Bandung Inst Technol, Bandung 40132, Indonesia

来源：

ICICI-BME: 2009 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATION, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING | 2009年

关键词：

multiplexed model predictive control; genetic algorithm; optimal weighting; quadratic cost; transient response;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents the application of Genetic Algorithm (GA) to find the optimal weighting of multiplexed model predictive control (MMPC). Using GA, the selection procedure can be done to ensure the best possible combination of the weighting parameters of MMPC. A bake plate system model controlled using MMPC is used to demonstrate the effect of the selected parameters using GA.

引用

页码：435 / 439

页数：5

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