克罗托夫全局顺序改进法在最大化进入给定区域概率问题中的应用

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Computer and Systems Sciences International Pub Date : 2024-08-18 DOI:10.1134/s1064230724700266
M. M. Khrustalev, K. A. Tsarkov
{"title":"克罗托夫全局顺序改进法在最大化进入给定区域概率问题中的应用","authors":"M. M. Khrustalev, K. A. Tsarkov","doi":"10.1134/s1064230724700266","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>An iterative method of the global improvement of an arbitrarily given control in a nonlinear dynamical system, proposed by V.F. Krotov, is described in detail in this paper. Various variants for applying the Krotov method to a problem of stochastic probabilistic optimization are discussed.</p>","PeriodicalId":50223,"journal":{"name":"Journal of Computer and Systems Sciences International","volume":"19 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Krotov Global Sequential Improvement Method as Applied to the Problem of Maximizing the Probability of Getting into the Given Area\",\"authors\":\"M. M. Khrustalev, K. A. Tsarkov\",\"doi\":\"10.1134/s1064230724700266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>An iterative method of the global improvement of an arbitrarily given control in a nonlinear dynamical system, proposed by V.F. Krotov, is described in detail in this paper. Various variants for applying the Krotov method to a problem of stochastic probabilistic optimization are discussed.</p>\",\"PeriodicalId\":50223,\"journal\":{\"name\":\"Journal of Computer and Systems Sciences International\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer and Systems Sciences International\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1134/s1064230724700266\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer and Systems Sciences International","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1134/s1064230724700266","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

摘要 本文详细介绍了 V.F. Krotov 提出的非线性动力系统中任意给定控制的全局改进迭代法。本文讨论了将克罗托夫方法应用于随机概率优化问题的各种变体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Krotov Global Sequential Improvement Method as Applied to the Problem of Maximizing the Probability of Getting into the Given Area

Abstract

An iterative method of the global improvement of an arbitrarily given control in a nonlinear dynamical system, proposed by V.F. Krotov, is described in detail in this paper. Various variants for applying the Krotov method to a problem of stochastic probabilistic optimization are discussed.

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
Journal of Computer and Systems Sciences International
Journal of Computer and Systems Sciences International 工程技术-计算机:控制论
CiteScore
1.50
自引率
33.30%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Journal of Computer and System Sciences International is a journal published in collaboration with the Russian Academy of Sciences. It covers all areas of control theory and systems. The journal features papers on the theory and methods of control, as well as papers devoted to the study, design, modeling, development, and application of new control systems. The journal publishes papers that reflect contemporary research and development in the field of control. Particular attention is given to applications of computer methods and technologies to control theory and control engineering. The journal publishes proceedings of international scientific conferences in the form of collections of regular journal articles and reviews by top experts on topical problems of modern studies in control theory.
期刊最新文献
Interval Observers for Hybrid Continuous-Time Stationary Systems Krotov Global Sequential Improvement Method as Applied to the Problem of Maximizing the Probability of Getting into the Given Area On the Optimal Control Function Diagrams in the Problem of the Movement of a Platform with Oscillators Mathematical Models for Management of Production and Financial Activities of an Enterprise Game-Theoretic Approach to Managing the Composition and Structure of a Bearing-Only Measurement System in Conditions of a priori Uncertainty
×
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