A Study on Predictive Control Using Short-Term Prediction Method Based on Chaos Theory

N. Masumoto, H. Yamakawa
{"title":"A Study on Predictive Control Using Short-Term Prediction Method Based on Chaos Theory","authors":"N. Masumoto, H. Yamakawa","doi":"10.1115/imece1997-0564","DOIUrl":null,"url":null,"abstract":"\n The main objective of this study is an application of short-term prediction method by chaos theory to vibration control. In this paper, we proposed two predictive control methods for mechanical systems. The input time series or the output time series of a mechanical system in the near future was predicted by the short-term prediction method based on chaos theory and we used the obtained time series effectively to get the control force. The algorithm of the short-term prediction method, which is based on Takens’s theorem, used in this study and a condition to have sufficient precision of prediction were discussed from practical engineering points. The effectiveness of the proposed control methods was shown by numerical results and experimental results.","PeriodicalId":297791,"journal":{"name":"Active/Passive Vibration Control and Nonlinear Dynamics of Structures","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Active/Passive Vibration Control and Nonlinear Dynamics of Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece1997-0564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The main objective of this study is an application of short-term prediction method by chaos theory to vibration control. In this paper, we proposed two predictive control methods for mechanical systems. The input time series or the output time series of a mechanical system in the near future was predicted by the short-term prediction method based on chaos theory and we used the obtained time series effectively to get the control force. The algorithm of the short-term prediction method, which is based on Takens’s theorem, used in this study and a condition to have sufficient precision of prediction were discussed from practical engineering points. The effectiveness of the proposed control methods was shown by numerical results and experimental results.
基于混沌理论的短期预测方法预测控制研究
本研究的主要目的是将混沌理论的短期预测方法应用于振动控制。本文提出了两种机械系统的预测控制方法。采用基于混沌理论的短期预测方法对机械系统近期的输入时间序列或输出时间序列进行预测,并利用得到的时间序列有效地得到控制力。从工程实际出发,讨论了本文所采用的基于Takens定理的短期预测方法的算法以及具有足够预测精度的条件。数值结果和实验结果表明了所提控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信