基于神经预测控制的旋转物体角度定位研究

C. Voloşencu
{"title":"基于神经预测控制的旋转物体角度定位研究","authors":"C. Voloşencu","doi":"10.37394/23205.2021.20.25","DOIUrl":null,"url":null,"abstract":"The study in the paper is placed in the broad context of research for increasing the efficiency of motion control. The purpose of the paper is to make a comparative analysis of the neural predictive control technic with the linear control for angular positioning of mechanical parts. The structure of the neural predictive control system and its design are presented. Transient characteristics obtained are compared from the point of view of their control efficiency criteria. The differences in performance criteria between the control methods studied are small.","PeriodicalId":332148,"journal":{"name":"WSEAS TRANSACTIONS ON COMPUTERS","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Study of the Angular Positioning of a Rotating Object with Neural Predictive Control\",\"authors\":\"C. Voloşencu\",\"doi\":\"10.37394/23205.2021.20.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study in the paper is placed in the broad context of research for increasing the efficiency of motion control. The purpose of the paper is to make a comparative analysis of the neural predictive control technic with the linear control for angular positioning of mechanical parts. The structure of the neural predictive control system and its design are presented. Transient characteristics obtained are compared from the point of view of their control efficiency criteria. The differences in performance criteria between the control methods studied are small.\",\"PeriodicalId\":332148,\"journal\":{\"name\":\"WSEAS TRANSACTIONS ON COMPUTERS\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WSEAS TRANSACTIONS ON COMPUTERS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37394/23205.2021.20.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WSEAS TRANSACTIONS ON COMPUTERS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37394/23205.2021.20.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文的研究是在提高运动控制效率的大背景下进行的。本文的目的是对机械零件角定位的神经预测控制技术与线性控制技术进行比较分析。介绍了神经预测控制系统的结构和设计。从控制效率准则的角度对得到的暂态特性进行了比较。所研究的控制方法之间的性能标准差异很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Study of the Angular Positioning of a Rotating Object with Neural Predictive Control
The study in the paper is placed in the broad context of research for increasing the efficiency of motion control. The purpose of the paper is to make a comparative analysis of the neural predictive control technic with the linear control for angular positioning of mechanical parts. The structure of the neural predictive control system and its design are presented. Transient characteristics obtained are compared from the point of view of their control efficiency criteria. The differences in performance criteria between the control methods studied are small.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Medical Image Classification using a Many to Many Relation, Multilayered Fuzzy Systems and AI Aspects of Symmetry in Petri Nets Chaos in Order: Applying ML, NLP, and Chaos Theory in Open Source Intelligence for Counter-Terrorism Combinatorial Optimization of Engineering Systems based on Diagrammatic Design Federated Learning: Attacks and Defenses, Rewards, Energy Efficiency: Past, Present and Future
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1