{"title":"Fuzzy Adaptive Cooperative Prescribed Time Control for Nonlinear Vehicular Platoon Systems","authors":"Kewen Li;Xiao Liu","doi":"10.1109/TFUZZ.2025.3528399","DOIUrl":null,"url":null,"abstract":"This article focuses on the issue of the cooperative adaptive fuzzy prescribed-time platoon control for nonlinear second-order vehicular platoon systems, which contain the nonlinear dynamic. Fuzzy logic system is adopted to identify the unknown nonlinear dynamic in the platoon system. By the aid of the time-domain mapping technique, the prescribed-time control design for the controlled system will be converted to the asymptotic tracking control design of the corresponding controlled system. Combining adaptive backstepping control and vehicle-to-vehicle communication topology, a prescribed-time fuzzy adaptive cooperative asymptotic tracking control scheme is proposed, which demonstrates all signals of the platoon systems are bounded within a prescribed time, and the velocities of all following vehicles can asymptotically track the leader vehicle with desired safety spacing. Moreover, the formation tracking errors can asymptotically tend to origin within a prescribed time. Finally, the effectiveness and feasibility of the proposed platoon control approach and theory will be verified by simulations.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 5","pages":"1568-1577"},"PeriodicalIF":10.7000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Fuzzy Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10839121/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This article focuses on the issue of the cooperative adaptive fuzzy prescribed-time platoon control for nonlinear second-order vehicular platoon systems, which contain the nonlinear dynamic. Fuzzy logic system is adopted to identify the unknown nonlinear dynamic in the platoon system. By the aid of the time-domain mapping technique, the prescribed-time control design for the controlled system will be converted to the asymptotic tracking control design of the corresponding controlled system. Combining adaptive backstepping control and vehicle-to-vehicle communication topology, a prescribed-time fuzzy adaptive cooperative asymptotic tracking control scheme is proposed, which demonstrates all signals of the platoon systems are bounded within a prescribed time, and the velocities of all following vehicles can asymptotically track the leader vehicle with desired safety spacing. Moreover, the formation tracking errors can asymptotically tend to origin within a prescribed time. Finally, the effectiveness and feasibility of the proposed platoon control approach and theory will be verified by simulations.
期刊介绍:
The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.