Lipschitz离散系统的非线性观测器。应用于同步和输入恢复

A. Zemouche, M. Boutayeb, G. I. Bara
{"title":"Lipschitz离散系统的非线性观测器。应用于同步和输入恢复","authors":"A. Zemouche, M. Boutayeb, G. I. Bara","doi":"10.23919/ECC.2007.7068258","DOIUrl":null,"url":null,"abstract":"In this note, a new observer design method for a class of nonlinear Lipschitz discrete-time systems is proposed. The developed method presents significant improvements with respect to the results of [1] and [2]. This is due, firstly, to the use of another structure of the observer introduced recently in [3] and, secondly, to the use of a detailed form of the system by specifying the distribution matrix of the nonlinearities in the system and the dependence matrix of the nonlinearities on the state of the system. The stability analysis is performed using a particular Lyapunov function that leads to the solvability of matrix inequalities which become linear (LMIs) whenever unknown scalar variables are chosen a priori. An illustrative example is given in order to show the efficiency of our method with respect to [1] and [2]. This new design approach is then generalized to systems with unknown inputs. In this paper, we have considered the problem of synchronization and input recovery. This generalization is tested successfully by a numerical application.","PeriodicalId":407048,"journal":{"name":"2007 European Control Conference (ECC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Nonlinear observers for Lipschitz discrete-time systems. Application to synchronization and input recovery\",\"authors\":\"A. Zemouche, M. Boutayeb, G. I. Bara\",\"doi\":\"10.23919/ECC.2007.7068258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this note, a new observer design method for a class of nonlinear Lipschitz discrete-time systems is proposed. The developed method presents significant improvements with respect to the results of [1] and [2]. This is due, firstly, to the use of another structure of the observer introduced recently in [3] and, secondly, to the use of a detailed form of the system by specifying the distribution matrix of the nonlinearities in the system and the dependence matrix of the nonlinearities on the state of the system. The stability analysis is performed using a particular Lyapunov function that leads to the solvability of matrix inequalities which become linear (LMIs) whenever unknown scalar variables are chosen a priori. An illustrative example is given in order to show the efficiency of our method with respect to [1] and [2]. This new design approach is then generalized to systems with unknown inputs. In this paper, we have considered the problem of synchronization and input recovery. This generalization is tested successfully by a numerical application.\",\"PeriodicalId\":407048,\"journal\":{\"name\":\"2007 European Control Conference (ECC)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.2007.7068258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.2007.7068258","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

针对一类非线性Lipschitz离散系统,提出了一种新的观测器设计方法。所开发的方法相对于[1]和[2]的结果有了显著的改进。首先,这是由于使用了最近在[3]中介绍的另一种观测器结构,其次,通过指定系统中非线性的分布矩阵和非线性对系统状态的依赖矩阵,使用了系统的详细形式。稳定性分析使用一个特定的李雅普诺夫函数进行,该函数导致矩阵不等式的可解性,当先验地选择未知标量变量时,矩阵不等式变成线性(lmi)。为了说明本文方法对于[1]和[2]的有效性,文中给出了一个示例。然后将这种新的设计方法推广到具有未知输入的系统。在本文中,我们考虑了同步和输入恢复问题。通过数值应用成功地验证了这一推广。
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
Nonlinear observers for Lipschitz discrete-time systems. Application to synchronization and input recovery
In this note, a new observer design method for a class of nonlinear Lipschitz discrete-time systems is proposed. The developed method presents significant improvements with respect to the results of [1] and [2]. This is due, firstly, to the use of another structure of the observer introduced recently in [3] and, secondly, to the use of a detailed form of the system by specifying the distribution matrix of the nonlinearities in the system and the dependence matrix of the nonlinearities on the state of the system. The stability analysis is performed using a particular Lyapunov function that leads to the solvability of matrix inequalities which become linear (LMIs) whenever unknown scalar variables are chosen a priori. An illustrative example is given in order to show the efficiency of our method with respect to [1] and [2]. This new design approach is then generalized to systems with unknown inputs. In this paper, we have considered the problem of synchronization and input recovery. This generalization is tested successfully by a numerical application.
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
Maximum Likelihood estimation of state space models from frequency domain data Output feedback H∞ control of continuous-time infinite Markovian jump linear systems via LMI methods Visual servoing of a parallel robot system Comparison between SOS approach and Slack Variable approach for non-negativity check of polynomial functions: Multiple variable case Integrating Hamiltonian systems defined on the Lie groups SO(4) and SO(1,3)
×
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