Robotics & Machine Learning Daily News2024,Issue(Dec.2) :81-81.

Reports Summarize Machine Learning Study Results from Nanyang Technological Univ ersity (Machine Learning-based Inputaugmented Koopman Modeling and Predictive C ontrol of Nonlinear Processes)

报告总结了南洋理工大学的机器学习研究成果(基于机器学习的非线性过程输入库普曼建模和预测控制)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :81-81.

Reports Summarize Machine Learning Study Results from Nanyang Technological Univ ersity (Machine Learning-based Inputaugmented Koopman Modeling and Predictive C ontrol of Nonlinear Processes)

报告总结了南洋理工大学的机器学习研究成果(基于机器学习的非线性过程输入库普曼建模和预测控制)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道在新加坡,新加坡,由新的sRx编辑,研究表明,“基于库普曼的建模和模型”预测控制是非线性过程最优控制的一种很有前景的选择。好的Koopman建模性能在很大程度上取决于来自原始状态空间到提升状态空间。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Singapore, Singapore, by New sRx editors, research stated, “Koopman-based modeling and modelpredictive contr ol have been a promising alternative for optimal control of nonlinear processes. GoodKoopman modeling performance significantly depends on an appropriate nonli near mapping from theoriginal state-space to a lifted state space.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Nanyang Technological University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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