{"title":"Containment Control of Multirobot Systems With Nonuniform Time-Varying Delays","authors":"Meng Ren;Wenhang Liu;Kun Song;Ling Shi;Zhenhua Xiong","doi":"10.1109/TRO.2025.3539195","DOIUrl":null,"url":null,"abstract":"The containment of multirobot systems (MRSs) has a wide range of applications. However, time delays in communication among robots introduce difficulties to the system to accomplish containment. In addition, the specific dynamics of robot models pose new nonlinear and nonholonomic challenges. To solve these problems, a containment control law is proposed first for double-integrator MRSs subject to nonuniform time-varying delays. In contrast to impractical uniform delays, nonuniform time-varying delays are considered more deeply from the perspective of the Laplacian matrix in this article. The stability is proved by the Lyapunov–Krasovskii function and linear matrix inequalities. The proposed control law is further refined into a dual-loop structure for multi-nonholonomic-mobile-robot systems, addressing the problem of nonholonomic constraints. Specifically, the first loop decouples the control inputs in a finite time, and then the nonholonomic robot models are regarded as linear models, which facilitates the proof of system stability. The effectiveness of the aforementioned two control laws is validated through simulations and experiments. Under these containment control laws, followers in the system reach the convex hull formed by leaders and meet the convergence objective despite the constraint of nonuniform time-varying delays.","PeriodicalId":50388,"journal":{"name":"IEEE Transactions on Robotics","volume":"41 ","pages":"1657-1672"},"PeriodicalIF":10.5000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Robotics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10876769/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The containment of multirobot systems (MRSs) has a wide range of applications. However, time delays in communication among robots introduce difficulties to the system to accomplish containment. In addition, the specific dynamics of robot models pose new nonlinear and nonholonomic challenges. To solve these problems, a containment control law is proposed first for double-integrator MRSs subject to nonuniform time-varying delays. In contrast to impractical uniform delays, nonuniform time-varying delays are considered more deeply from the perspective of the Laplacian matrix in this article. The stability is proved by the Lyapunov–Krasovskii function and linear matrix inequalities. The proposed control law is further refined into a dual-loop structure for multi-nonholonomic-mobile-robot systems, addressing the problem of nonholonomic constraints. Specifically, the first loop decouples the control inputs in a finite time, and then the nonholonomic robot models are regarded as linear models, which facilitates the proof of system stability. The effectiveness of the aforementioned two control laws is validated through simulations and experiments. Under these containment control laws, followers in the system reach the convex hull formed by leaders and meet the convergence objective despite the constraint of nonuniform time-varying delays.
期刊介绍:
The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles.
Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.