Xin Li , Jie Wu , Xisheng Zhan , Lingli Cheng , Huaicheng Yan
{"title":"具有多外部干扰和主动领导的多智能体系统鲁棒自适应二部时变编队控制","authors":"Xin Li , Jie Wu , Xisheng Zhan , Lingli Cheng , Huaicheng Yan","doi":"10.1016/j.ejcon.2025.101350","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the problem of bipartite time-varying formation tracking (BTVFT) for multi-agent systems (MASs) affected by both bounded and linearly parameterized disturbances, under a structurally balanced signed directed topology. An active leader with unknown control input is considered. A distributed robust adaptive control protocol is developed to achieve the desired BTVFT despite the presence of multiple disturbances and unknown leader input. Compared with existing works, the proposed approach accommodates both state-feedback and output-feedback scenarios, handles two distinct types of disturbances without requiring their bounds, and does not assume prior knowledge of the leader’s input. The proposed method improves upon existing works by handling both state and output feedback cases, compensating for two types of disturbances without known bounds, and estimating the leader’s input without prior information. Lyapunov-based analysis is conducted to prove that the tracking error converges asymptotically to zero. Simulation results are provided to validate the theoretical findings and demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"85 ","pages":"Article 101350"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust adaptive bipartite time-varying formation control for multiagent systems with multiple external disturbances and an active leader\",\"authors\":\"Xin Li , Jie Wu , Xisheng Zhan , Lingli Cheng , Huaicheng Yan\",\"doi\":\"10.1016/j.ejcon.2025.101350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper investigates the problem of bipartite time-varying formation tracking (BTVFT) for multi-agent systems (MASs) affected by both bounded and linearly parameterized disturbances, under a structurally balanced signed directed topology. An active leader with unknown control input is considered. A distributed robust adaptive control protocol is developed to achieve the desired BTVFT despite the presence of multiple disturbances and unknown leader input. Compared with existing works, the proposed approach accommodates both state-feedback and output-feedback scenarios, handles two distinct types of disturbances without requiring their bounds, and does not assume prior knowledge of the leader’s input. The proposed method improves upon existing works by handling both state and output feedback cases, compensating for two types of disturbances without known bounds, and estimating the leader’s input without prior information. Lyapunov-based analysis is conducted to prove that the tracking error converges asymptotically to zero. Simulation results are provided to validate the theoretical findings and demonstrate the effectiveness of the proposed method.</div></div>\",\"PeriodicalId\":50489,\"journal\":{\"name\":\"European Journal of Control\",\"volume\":\"85 \",\"pages\":\"Article 101350\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0947358025001797\",\"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":"European Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0947358025001797","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}
Robust adaptive bipartite time-varying formation control for multiagent systems with multiple external disturbances and an active leader
This paper investigates the problem of bipartite time-varying formation tracking (BTVFT) for multi-agent systems (MASs) affected by both bounded and linearly parameterized disturbances, under a structurally balanced signed directed topology. An active leader with unknown control input is considered. A distributed robust adaptive control protocol is developed to achieve the desired BTVFT despite the presence of multiple disturbances and unknown leader input. Compared with existing works, the proposed approach accommodates both state-feedback and output-feedback scenarios, handles two distinct types of disturbances without requiring their bounds, and does not assume prior knowledge of the leader’s input. The proposed method improves upon existing works by handling both state and output feedback cases, compensating for two types of disturbances without known bounds, and estimating the leader’s input without prior information. Lyapunov-based analysis is conducted to prove that the tracking error converges asymptotically to zero. Simulation results are provided to validate the theoretical findings and demonstrate the effectiveness of the proposed method.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.