具有自适应耦合的复杂动态网络自适应控制模型

Xiaoxiao Li, Yinhe Wang, Shengping Li
{"title":"具有自适应耦合的复杂动态网络自适应控制模型","authors":"Xiaoxiao Li, Yinhe Wang, Shengping Li","doi":"10.1109/ICCR55715.2022.10053849","DOIUrl":null,"url":null,"abstract":"In this research, the model following adaptive control problem for the complex dynamical networks with adaptive coupling is investigated. Firstly, from the large-scale system perspective, the complex dynamical networks studied in this paper is composed of many nodes coupled with each other, where each node is a dynamic basic unit with detailed content, which is modeled by the vector differential equation. Next, based on the Lyapunov stability theory, an appropriate adaptive control scheme and the adaptive coupling are designed for the controller plant, so that the controlled plant can asymptotically track its model following target. Furthermore, each node has a different model following target, which is actually achieve multi-target tracking control. Finally, numerical simulation is given to verify the effectiveness and correctness of the control scheme proposed in this paper.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"212 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model Following Adaptive Control of Complex Dynamical Networks with the Adaptive Coupling\",\"authors\":\"Xiaoxiao Li, Yinhe Wang, Shengping Li\",\"doi\":\"10.1109/ICCR55715.2022.10053849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, the model following adaptive control problem for the complex dynamical networks with adaptive coupling is investigated. Firstly, from the large-scale system perspective, the complex dynamical networks studied in this paper is composed of many nodes coupled with each other, where each node is a dynamic basic unit with detailed content, which is modeled by the vector differential equation. Next, based on the Lyapunov stability theory, an appropriate adaptive control scheme and the adaptive coupling are designed for the controller plant, so that the controlled plant can asymptotically track its model following target. Furthermore, each node has a different model following target, which is actually achieve multi-target tracking control. Finally, numerical simulation is given to verify the effectiveness and correctness of the control scheme proposed in this paper.\",\"PeriodicalId\":441511,\"journal\":{\"name\":\"2022 4th International Conference on Control and Robotics (ICCR)\",\"volume\":\"212 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Control and Robotics (ICCR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCR55715.2022.10053849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Control and Robotics (ICCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCR55715.2022.10053849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究了具有自适应耦合的复杂动态网络的自适应控制问题。首先,从大尺度系统的角度出发,本文研究的复杂动态网络由许多节点相互耦合组成,每个节点是一个具有详细内容的动态基本单元,用矢量微分方程对其进行建模。其次,基于Lyapunov稳定性理论,为被控对象设计合适的自适应控制方案和自适应耦合,使被控对象能够渐近跟踪其模型跟踪目标。此外,每个节点都有不同的模型跟踪目标,实际上实现了多目标跟踪控制。最后通过数值仿真验证了所提控制方案的有效性和正确性。
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
Model Following Adaptive Control of Complex Dynamical Networks with the Adaptive Coupling
In this research, the model following adaptive control problem for the complex dynamical networks with adaptive coupling is investigated. Firstly, from the large-scale system perspective, the complex dynamical networks studied in this paper is composed of many nodes coupled with each other, where each node is a dynamic basic unit with detailed content, which is modeled by the vector differential equation. Next, based on the Lyapunov stability theory, an appropriate adaptive control scheme and the adaptive coupling are designed for the controller plant, so that the controlled plant can asymptotically track its model following target. Furthermore, each node has a different model following target, which is actually achieve multi-target tracking control. Finally, numerical simulation is given to verify the effectiveness and correctness of the control scheme proposed in this paper.
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
Mobile Humanoid Robot Control through Object Movement Imagery Optimization of Two-end Access Platform Automated Warehouse Storage Allocation Long-Tailed Object Mining Based on CLIP Model for Autonomous Driving Node Deployment and Energy Saving Optimization Method for Wireless Sensor Networks Based on Q-learning Off-policy Q-learning-based Tracking Control for Stochastic Linear Discrete-Time Systems
×
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