{"title":"Velocity-free containment control with binary relative measurements only","authors":"Ashish Shukla, Vijaya Kumar Dunna, Arijit Sen","doi":"10.1016/j.chaos.2024.115728","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces a containment control law for a multi-agent system (MAS) of double integrator agents using only relative position information. Unlike existing methods, this approach eliminates the need for velocity or exact position measurements as feedback, reducing communication and sensor requirements. Using the non-smooth Lyapunov analysis, we prove the convergence of the proposed control law under any detailed-balanced network with any positive gains. Moreover, the controller inherently guarantees bounded control effort and finite-time or fixed-time convergence without needing any additional update law. Finally, the numerical simulations demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"190 ","pages":"Article 115728"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924012803","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a containment control law for a multi-agent system (MAS) of double integrator agents using only relative position information. Unlike existing methods, this approach eliminates the need for velocity or exact position measurements as feedback, reducing communication and sensor requirements. Using the non-smooth Lyapunov analysis, we prove the convergence of the proposed control law under any detailed-balanced network with any positive gains. Moreover, the controller inherently guarantees bounded control effort and finite-time or fixed-time convergence without needing any additional update law. Finally, the numerical simulations demonstrate the effectiveness of the proposed method.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.