基于灰色系统模型的预测函数控制算法研究

Q3 Mathematics 控制与决策 Pub Date : 2004-01-01 DOI:10.1109/icca.2003.1229132
Pan Hong-hua
{"title":"基于灰色系统模型的预测函数控制算法研究","authors":"Pan Hong-hua","doi":"10.1109/icca.2003.1229132","DOIUrl":null,"url":null,"abstract":"An algorithm of predictive functional control based on grey system model is proposed. The problem of how to set up grey system model and how to calculate the output of predictive model and the equation of control law is addressed. The simulation results show that the algorithm of predictive functional control has better robustness, quick tracking and high control precision.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Study of predictive functional control algorithm based on grey system model\",\"authors\":\"Pan Hong-hua\",\"doi\":\"10.1109/icca.2003.1229132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm of predictive functional control based on grey system model is proposed. The problem of how to set up grey system model and how to calculate the output of predictive model and the equation of control law is addressed. The simulation results show that the algorithm of predictive functional control has better robustness, quick tracking and high control precision.\",\"PeriodicalId\":34957,\"journal\":{\"name\":\"控制与决策\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"控制与决策\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/icca.2003.1229132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"控制与决策","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/icca.2003.1229132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 2

摘要

提出了一种基于灰色系统模型的预测函数控制算法。研究了灰色系统模型的建立、预测模型输出和控制律方程的计算等问题。仿真结果表明,预测函数控制算法具有较好的鲁棒性、跟踪速度快、控制精度高等特点。
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 predictive functional control algorithm based on grey system model
An algorithm of predictive functional control based on grey system model is proposed. The problem of how to set up grey system model and how to calculate the output of predictive model and the equation of control law is addressed. The simulation results show that the algorithm of predictive functional control has better robustness, quick tracking and high control precision.
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
控制与决策
控制与决策 Mathematics-Control and Optimization
CiteScore
2.40
自引率
0.00%
发文量
8840
期刊最新文献
基于同构Frank t-模与 s-模的勾股模糊Frank 集结算子及其应用 Speed-regulating system for induction motor and inverter based on Hammerstein model and neural network control Nonlinear generalized minimum variance control of linear hybrid automata An online competitive algorithm for network monitor nodes sequence deployment problem Optimal Control Strategy for Serial Supply Chain
×
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
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