Functional analysis approach to the nonlinear stochastic dynamical systems

A. Krumov
{"title":"Functional analysis approach to the nonlinear stochastic dynamical systems","authors":"A. Krumov","doi":"10.1109/INES.2011.5954738","DOIUrl":null,"url":null,"abstract":"In the paper general case of nonlinear stochastic dynamical system is considered. The sufficient conditions for robust application of the suggested method are proven with a theorem, applying the theory of nonlinear operators of the functional analysis. As a special case a model of a class of dynamical systems with nonlinear stochastic perturbation is also considered and the sufficient conditions for robust application of the suggested method are proven with the same theorem. An example for the latter case, comparing the numerical computer solution of the original system and the analytical solution of the approximate robust model are given. The method can be applied for analytical and computer modelling of nonlinear stochastic dynamical systems, optimization, synthesis of computer control and for investigation of the stochastic perturbation.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 15th IEEE International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2011.5954738","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

In the paper general case of nonlinear stochastic dynamical system is considered. The sufficient conditions for robust application of the suggested method are proven with a theorem, applying the theory of nonlinear operators of the functional analysis. As a special case a model of a class of dynamical systems with nonlinear stochastic perturbation is also considered and the sufficient conditions for robust application of the suggested method are proven with the same theorem. An example for the latter case, comparing the numerical computer solution of the original system and the analytical solution of the approximate robust model are given. The method can be applied for analytical and computer modelling of nonlinear stochastic dynamical systems, optimization, synthesis of computer control and for investigation of the stochastic perturbation.
非线性随机动力系统的泛函分析方法
本文考虑了非线性随机动力系统的一般情况。应用泛函分析的非线性算子理论,用一个定理证明了该方法鲁棒应用的充分条件。作为一种特殊情况,本文还考虑了一类具有非线性随机扰动的动力系统模型,并用相同的定理证明了该方法鲁棒应用的充分条件。以后一种情况为例,比较了原系统的数值解和近似鲁棒模型的解析解。该方法可用于非线性随机动力系统的分析和计算机建模、优化、计算机控制的综合以及随机扰动的研究。
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