{"title":"Steering and Formation Control of Unicycles Under Single-Rate Sampling","authors":"Mattia Mattioni;Alessio Moreschini;Salvatore Monaco;Dorothée Normand-Cyrot","doi":"10.1109/TCNS.2024.3372690","DOIUrl":null,"url":null,"abstract":"In this article, we propose a new digital feedback law for controlling unicycles in a sampled-data scenario. More in detail, two open problems are solved. First, assuming piecewise constant control and sampled-data measures of the state, we consider the problem of driving one unicycle toward a desired position in the plane with a target fixed orientation. Then, we tackle the problem of forcing a network of unicycles to a desired formation with the same orientation when assuming asynchronous sampled-data communication and piecewise constant controls. The design relies upon discrete-time passivity-based arguments yielding the first feedback law (within the digital literature) that employs single-rate sampling while keeping into account the effects of digital devices. The results are finally illustrated through simulations aimed at showing the benefits of the proposed controller to recover the same performance as the ones under continuous-time control law, whose performances are unavoidably lost when implemented in practice.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"11 4","pages":"2075-2087"},"PeriodicalIF":5.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10458327/","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}
引用次数: 0
Abstract
In this article, we propose a new digital feedback law for controlling unicycles in a sampled-data scenario. More in detail, two open problems are solved. First, assuming piecewise constant control and sampled-data measures of the state, we consider the problem of driving one unicycle toward a desired position in the plane with a target fixed orientation. Then, we tackle the problem of forcing a network of unicycles to a desired formation with the same orientation when assuming asynchronous sampled-data communication and piecewise constant controls. The design relies upon discrete-time passivity-based arguments yielding the first feedback law (within the digital literature) that employs single-rate sampling while keeping into account the effects of digital devices. The results are finally illustrated through simulations aimed at showing the benefits of the proposed controller to recover the same performance as the ones under continuous-time control law, whose performances are unavoidably lost when implemented in practice.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.