• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

网络化不确定 Euler-Lagrange 系统的交会问题自适应控制。

Adaptive Control for Rendezvous Problem of Networked Uncertain Euler-Lagrange Systems.

出版信息

IEEE Trans Cybern. 2019 Jun;49(6):2190-2199. doi: 10.1109/TCYB.2018.2821700. Epub 2018 Apr 16.

DOI:10.1109/TCYB.2018.2821700
PMID:29993944
Abstract

This paper further improves the results for the leader-following rendezvous problem for multiple uncertain Euler-Lagrange systems. Based on a self-tuning adaptive observer, which can work under the more relaxed assumption that the information of the leader system is only available to informed followers in the rendezvous network, a full state distributed control law, depending only on the neighbor's information, is first proposed to preserve the connectivity of the initially connected rendezvous network, as well as to achieve the asymptotic tracking of leader's signal. And then such full state control strategy is further improved to be independent of the relative velocity of two neighboring agents by introducing an additional time-varying nonlinear term, determined by potential function. At the same time, dynamic gains are also introduced to make control parameter independent of system dynamics.

摘要

本文进一步提高了多不确定 Euler-Lagrange 系统的领导者-跟随者会合问题的结果。基于自调整自适应观测器,该观测器可以在更宽松的假设下工作,即领导者系统的信息仅在会合网络中知情的跟随者处可用,首先提出了一种全状态分布式控制律,该控制律仅依赖于邻居的信息,以保持初始连接的会合网络的连通性,并实现对领导者信号的渐近跟踪。然后,通过引入由势函数确定的附加时变非线性项,进一步改进了这种全状态控制策略,使其与两个相邻代理的相对速度无关。同时,还引入了动态增益,以使控制参数与系统动力学无关。

相似文献

1
Adaptive Control for Rendezvous Problem of Networked Uncertain Euler-Lagrange Systems.网络化不确定 Euler-Lagrange 系统的交会问题自适应控制。
IEEE Trans Cybern. 2019 Jun;49(6):2190-2199. doi: 10.1109/TCYB.2018.2821700. Epub 2018 Apr 16.
2
Adaptive Leader-Following Consensus for Multiple Euler-Lagrange Systems With an Uncertain Leader System.具有不确定领导者系统的多个欧拉-拉格朗日系统的自适应领导者跟随一致性
IEEE Trans Neural Netw Learn Syst. 2019 Jul;30(7):2188-2196. doi: 10.1109/TNNLS.2018.2878463. Epub 2018 Nov 22.
3
A Novel Connectivity-Preserving Control Design for Rendezvous Problem of Networked Uncertain Nonlinear Systems.一种用于网络化不确定非线性系统交会问题的新型保连通性控制设计
IEEE Trans Neural Netw Learn Syst. 2020 Dec;31(12):5127-5137. doi: 10.1109/TNNLS.2020.2964017. Epub 2020 Nov 30.
4
Distributed tracking control for multiple Euler-Lagrange systems with communication delays and input saturation.具有通信延迟和输入饱和的多个欧拉-拉格朗日系统的分布式跟踪控制
ISA Trans. 2020 Jan;96:245-254. doi: 10.1016/j.isatra.2019.06.028. Epub 2019 Jul 3.
5
Distributed Observer-Based Leader-Follower Consensus of Multiple Euler-Lagrange Systems.基于分布式观测器的多个欧拉-拉格朗日系统的主从一致性
IEEE Trans Neural Netw Learn Syst. 2022 May 11;PP. doi: 10.1109/TNNLS.2022.3172484.
6
Formation-containment control of networked Euler-Lagrange systems: An event-triggered framework.网络化 Euler-Lagrange 系统的形成-包容控制:一种事件触发框架。
ISA Trans. 2019 Mar;86:87-97. doi: 10.1016/j.isatra.2018.10.019. Epub 2018 Oct 24.
7
Adaptive disturbance cancellation for a class of MIMO nonlinear Euler-Lagrange systems under input saturation.输入饱和情况下一类多输入多输出非线性欧拉-拉格朗日系统的自适应干扰消除
ISA Trans. 2020 Jan;96:14-23. doi: 10.1016/j.isatra.2019.06.021. Epub 2019 Jul 2.
8
Cooperative Output Regulation Problem of Nonlinear Multiagent Systems With Proximity Graph via Output Feedback Control.基于输出反馈控制的具有邻近图的非线性多智能体系统协同输出调节问题
IEEE Trans Cybern. 2021 Aug;51(8):4201-4211. doi: 10.1109/TCYB.2019.2955717. Epub 2021 Aug 4.
9
Leader-Following Consensus of Multiple Uncertain Euler-Lagrange Systems via Fully Distributed Event-Triggered Adaptive Fuzzy Control.基于完全分布式事件触发自适应模糊控制的多个不确定欧拉-拉格朗日系统的领导者-跟随者一致性
IEEE Trans Cybern. 2024 Jan;54(1):76-86. doi: 10.1109/TCYB.2022.3177443. Epub 2023 Dec 20.
10
Time-Varying Optimization-Based Approach for Distributed Formation of Uncertain Euler-Lagrange Systems.基于时变优化的不确定欧拉-拉格朗日系统分布式编队方法
IEEE Trans Cybern. 2022 Jul;52(7):5984-5998. doi: 10.1109/TCYB.2021.3055206. Epub 2022 Jul 4.