Xinyu Zhang, Xisheng Zhan, Jie Wu, Tao Han, Lingli Cheng
{"title":"输入饱和多智能体系统的动态事件触发自适应观测器时变队形跟踪","authors":"Xinyu Zhang, Xisheng Zhan, Jie Wu, Tao Han, Lingli Cheng","doi":"10.1002/rnc.8061","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>We investigate the time-varying formation-containment (TVFC) tracking problem for linear multiagent systems (MASs) with input saturation in this article. First, dynamic event-triggered (DET) strategies are put forward to regulate the interagent communication. Because there is no need for continuous interaction between agents, this strategy greatly reduces communication costs. Then, under the designed adaptive output feedback (OF) TVFC tracking control algorithm, it is demonstrated using Lyapunov stability theory that this system can realize the desired TVFC tracking. Moreover, we propose continuous protocols to avoid large chattering resulting from non-zero inputs. The errors are uniformly ultimately bounded and converges to an arbitrarily small zero neighborhood under the protocols. Moreover, no agent exhibits Zeno behavior for the constructed DET scheme. Finally, we demonstrate the feasibility of the designed DET control mechanism through simulation examples.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6382-6398"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Event-Triggered Adaptive Observer-Based Time-Varying Formation-Containment Tracking of Multiagent Systems With Input Saturation\",\"authors\":\"Xinyu Zhang, Xisheng Zhan, Jie Wu, Tao Han, Lingli Cheng\",\"doi\":\"10.1002/rnc.8061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>We investigate the time-varying formation-containment (TVFC) tracking problem for linear multiagent systems (MASs) with input saturation in this article. First, dynamic event-triggered (DET) strategies are put forward to regulate the interagent communication. Because there is no need for continuous interaction between agents, this strategy greatly reduces communication costs. Then, under the designed adaptive output feedback (OF) TVFC tracking control algorithm, it is demonstrated using Lyapunov stability theory that this system can realize the desired TVFC tracking. Moreover, we propose continuous protocols to avoid large chattering resulting from non-zero inputs. The errors are uniformly ultimately bounded and converges to an arbitrarily small zero neighborhood under the protocols. Moreover, no agent exhibits Zeno behavior for the constructed DET scheme. Finally, we demonstrate the feasibility of the designed DET control mechanism through simulation examples.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 15\",\"pages\":\"6382-6398\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.8061\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.8061","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Dynamic Event-Triggered Adaptive Observer-Based Time-Varying Formation-Containment Tracking of Multiagent Systems With Input Saturation
We investigate the time-varying formation-containment (TVFC) tracking problem for linear multiagent systems (MASs) with input saturation in this article. First, dynamic event-triggered (DET) strategies are put forward to regulate the interagent communication. Because there is no need for continuous interaction between agents, this strategy greatly reduces communication costs. Then, under the designed adaptive output feedback (OF) TVFC tracking control algorithm, it is demonstrated using Lyapunov stability theory that this system can realize the desired TVFC tracking. Moreover, we propose continuous protocols to avoid large chattering resulting from non-zero inputs. The errors are uniformly ultimately bounded and converges to an arbitrarily small zero neighborhood under the protocols. Moreover, no agent exhibits Zeno behavior for the constructed DET scheme. Finally, we demonstrate the feasibility of the designed DET control mechanism through simulation examples.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.