控制离散时间混沌系统

Xiaoning Dong, Guanrong Chen
{"title":"控制离散时间混沌系统","authors":"Xiaoning Dong, Guanrong Chen","doi":"10.23919/ACC.1992.4792532","DOIUrl":null,"url":null,"abstract":"Themin efforts im curret resach on feedback control of (Hnear and nonlinea) dynamic ystem have been focuing on et s h an unsable system or c g a stable system for cetain ing purpos. Recently, it has been observed tha titing trol stratei for dcatic -systems is needed n som ara suh as biomedial sciences and neural . This can be seen frown for example, Freemn's aricle (1V9), where It stes: \"Conceivaby, the ochas we have obseved is impy an inetbe by-product a the brain's comLity, including its riad . Yet or evidence suggesb that the l c of the hm is more than an accdental by-product Indeed, it may be the ciief property hatmkes the brain dHEeret frm an artiftcial-iteigence machine.\" At the present ste, however, wry lttle is knownashow to control a chaoic dynamic system, pa a a discretetime chaotic system for some practical purpo . T\" isyet some current -research on the toi by Huble (1M7), Jacks (1991) and Ott, Grebogi and Yorke (1990), and the related references cited therein. Other related papen indu& Ditto, Rause and Spano (1990) ad Hunt (1991). May deep insights and new ideas -can be found from these papers as how to understand the dynamic behavior of a complex systemand how to control it, where tih mai of Ott, Grebog and Yorke is to use a small and caefuly chos perturbation to control (\"ttabls\") :an unstable periodic orbit and that a Hfibler and Jackson s to use cmtrol without fdbck. It states imJason (1991) that once the control is initiated there is no need to further moitor the system's dynaiis, no to feedback this inormatiam order to -sustain the controL This is -obviouly very important in system which have chatic dynamics, since their sensitivity to small erors makes -them very difficult, -and probably impobe, to control usi conventional fedback methods over all of their phase space.\" Despite this negtive coment on te use of conventional feedback cotrol tecniques for chaotic dynamic systems, we present in this paper some interesting observations, analysis and simulation results on the control of chaotic Hinon svstems using conventional feedback control strategies. We demonstrate that the conventional feedback approach not only works for discrete-time chaotic dynamic systems, as shown in Chen and Doug (1992) and in this p'per, but als applies to continuous-tine chotc systems (see Chen and Dong (1991)). 2. Feedback control of the Hinon system Consider the nlinear H sstem { zi(n + 1) p,(-n) +zdtn)+ z,2(n + 1) =qzr(n), with suitablychosenreal parawtrp andq, which display chaotic ashoainF lkwIthp= lJad q =02 for lar m -to u: (a=-)","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Controlling Discrete-Time Chaotic Systems\",\"authors\":\"Xiaoning Dong, Guanrong Chen\",\"doi\":\"10.23919/ACC.1992.4792532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Themin efforts im curret resach on feedback control of (Hnear and nonlinea) dynamic ystem have been focuing on et s h an unsable system or c g a stable system for cetain ing purpos. Recently, it has been observed tha titing trol stratei for dcatic -systems is needed n som ara suh as biomedial sciences and neural . This can be seen frown for example, Freemn's aricle (1V9), where It stes: \\\"Conceivaby, the ochas we have obseved is impy an inetbe by-product a the brain's comLity, including its riad . Yet or evidence suggesb that the l c of the hm is more than an accdental by-product Indeed, it may be the ciief property hatmkes the brain dHEeret frm an artiftcial-iteigence machine.\\\" At the present ste, however, wry lttle is knownashow to control a chaoic dynamic system, pa a a discretetime chaotic system for some practical purpo . T\\\" isyet some current -research on the toi by Huble (1M7), Jacks (1991) and Ott, Grebogi and Yorke (1990), and the related references cited therein. Other related papen indu& Ditto, Rause and Spano (1990) ad Hunt (1991). May deep insights and new ideas -can be found from these papers as how to understand the dynamic behavior of a complex systemand how to control it, where tih mai of Ott, Grebog and Yorke is to use a small and caefuly chos perturbation to control (\\\"ttabls\\\") :an unstable periodic orbit and that a Hfibler and Jackson s to use cmtrol without fdbck. It states imJason (1991) that once the control is initiated there is no need to further moitor the system's dynaiis, no to feedback this inormatiam order to -sustain the controL This is -obviouly very important in system which have chatic dynamics, since their sensitivity to small erors makes -them very difficult, -and probably impobe, to control usi conventional fedback methods over all of their phase space.\\\" Despite this negtive coment on te use of conventional feedback cotrol tecniques for chaotic dynamic systems, we present in this paper some interesting observations, analysis and simulation results on the control of chaotic Hinon svstems using conventional feedback control strategies. We demonstrate that the conventional feedback approach not only works for discrete-time chaotic dynamic systems, as shown in Chen and Doug (1992) and in this p'per, but als applies to continuous-tine chotc systems (see Chen and Dong (1991)). 2. Feedback control of the Hinon system Consider the nlinear H sstem { zi(n + 1) p,(-n) +zdtn)+ z,2(n + 1) =qzr(n), with suitablychosenreal parawtrp andq, which display chaotic ashoainF lkwIthp= lJad q =02 for lar m -to u: (a=-)\",\"PeriodicalId\":297258,\"journal\":{\"name\":\"1992 American Control Conference\",\"volume\":\"18 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1992.4792532\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1992.4792532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

目前对(线性和非线性)动态系统反馈控制的研究主要集中在如何使系统不稳定或使系统达到一定目的。近年来,人们注意到在生物医学和神经科学等领域需要动态控制策略。这可以从弗里曼的文章(1V9)中看出,他说:“可以想象,我们观察到的ochas是大脑完整性的不可避免的副产品,包括它的riad。然而,也有证据表明,大脑的大脑不仅仅是一个偶然的副产品。事实上,它可能是使大脑从人工智能机器中分离出来的主要特性。”然而,目前人们对混沌动力系统的控制还知之甚少,为了一些实际的目的,我们只能选择离散时间混沌系统。这里有一些目前由Huble (1991), Jacks(1991)和Ott, Grebogi和Yorke(1990)对toi的研究,以及其中引用的相关参考文献。其他相关的论文和同上,劳斯和斯帕诺(1990)和亨特(1991)。从这些论文中可以发现许多深刻的见解和新的想法,例如如何理解复杂系统的动态行为以及如何控制它,其中Ott, Grebog和Yorke的主要方法是使用一个小而仔细选择的扰动来控制(“表”):一个不稳定的周期轨道,而Hfibler和Jackson则使用无返回的控制。jason(1991)指出,一旦控制启动,就不需要进一步监测系统的动态,不需要反馈这些信息以维持控制。这显然对具有混沌动力学的系统非常重要,因为它们对小误差的敏感性使它们非常困难,而且可能不可能使用传统的反馈方法来控制所有的相空间。”尽管对混沌动态系统使用常规反馈控制技术的负面评论,但我们在本文中提出了一些有趣的观察,分析和使用常规反馈控制策略控制混沌Hinon系统的仿真结果。我们证明,传统的反馈方法不仅适用于离散时间混沌动态系统,如Chen和Doug(1992)和本论文所示,而且也适用于连续时间混沌系统(见Chen和Dong(1991))。2. 考虑非线性H系统{zi(n + 1) p,(-n) +zdtn)+ z,2(n + 1) =qzr(n),选择合适的副向量和q,显示混沌状态f (k) = lJad q =02,对于线性m ~ u:(a=-)
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
Controlling Discrete-Time Chaotic Systems
Themin efforts im curret resach on feedback control of (Hnear and nonlinea) dynamic ystem have been focuing on et s h an unsable system or c g a stable system for cetain ing purpos. Recently, it has been observed tha titing trol stratei for dcatic -systems is needed n som ara suh as biomedial sciences and neural . This can be seen frown for example, Freemn's aricle (1V9), where It stes: "Conceivaby, the ochas we have obseved is impy an inetbe by-product a the brain's comLity, including its riad . Yet or evidence suggesb that the l c of the hm is more than an accdental by-product Indeed, it may be the ciief property hatmkes the brain dHEeret frm an artiftcial-iteigence machine." At the present ste, however, wry lttle is knownashow to control a chaoic dynamic system, pa a a discretetime chaotic system for some practical purpo . T" isyet some current -research on the toi by Huble (1M7), Jacks (1991) and Ott, Grebogi and Yorke (1990), and the related references cited therein. Other related papen indu& Ditto, Rause and Spano (1990) ad Hunt (1991). May deep insights and new ideas -can be found from these papers as how to understand the dynamic behavior of a complex systemand how to control it, where tih mai of Ott, Grebog and Yorke is to use a small and caefuly chos perturbation to control ("ttabls") :an unstable periodic orbit and that a Hfibler and Jackson s to use cmtrol without fdbck. It states imJason (1991) that once the control is initiated there is no need to further moitor the system's dynaiis, no to feedback this inormatiam order to -sustain the controL This is -obviouly very important in system which have chatic dynamics, since their sensitivity to small erors makes -them very difficult, -and probably impobe, to control usi conventional fedback methods over all of their phase space." Despite this negtive coment on te use of conventional feedback cotrol tecniques for chaotic dynamic systems, we present in this paper some interesting observations, analysis and simulation results on the control of chaotic Hinon svstems using conventional feedback control strategies. We demonstrate that the conventional feedback approach not only works for discrete-time chaotic dynamic systems, as shown in Chen and Doug (1992) and in this p'per, but als applies to continuous-tine chotc systems (see Chen and Dong (1991)). 2. Feedback control of the Hinon system Consider the nlinear H sstem { zi(n + 1) p,(-n) +zdtn)+ z,2(n + 1) =qzr(n), with suitablychosenreal parawtrp andq, which display chaotic ashoainF lkwIthp= lJad q =02 for lar m -to u: (a=-)
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
A Comparison of Four Discrete-Time Repetitive Control Algorithms Adaptive Feedback Control of Linear Stochastic Systems General Structure of Time-Optimal Control of Robotic Manipulators Moving Along Prescribed Paths Practical computation of the mixed μ problem A Parameterization of Minimal Plants
×
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