Fuzzy adaptive event-triggered platoon control of multi-vehicle with input saturation

IF 4.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-09-13 DOI:10.1016/j.jfranklin.2025.108054

Shijie Dong, Junyong Zhai

{"title":"Fuzzy adaptive event-triggered platoon control of multi-vehicle with input saturation","authors":"Shijie Dong, Junyong Zhai","doi":"10.1016/j.jfranklin.2025.108054","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the observer-based fuzzy adaptive event-triggered (ET) platoon control problem of connected multi-vehicle (CMV) with input saturation. Considering the network resource and communication bandwidth are limited, a novel ET mechanism is designed to reduce signals transmission frequency from sensor to controller (S-C) and vehicle-to-vehicle (V2V) in vehicular ad-hoc network (VANET). And, the virtual control non-differentiability issue caused by triggered discontinuous states is overcome by designing the homogeneous filters and event-based extended state observers (ESOs), to generate smooth estimates of states and disturbances. Then, fuzzy logic systems (FLSs) are introduced to approximate unknown functions of vehicle systems. To eliminate the adverse effects of input saturation, an auxiliary homogeneous system is devised. Based on Lyapunov stability theory, all signals of the closed-loop system are proven to be semi-globally uniformly ultimately bounded (SGUUB), vehicle individual stability and string stability are achieved. Finally, the simulation studies are displayed to explain the effectiveness of the ET platoon control protocol.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 16","pages":"Article 108054"},"PeriodicalIF":4.2000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225005460","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

This paper studies the observer-based fuzzy adaptive event-triggered (ET) platoon control problem of connected multi-vehicle (CMV) with input saturation. Considering the network resource and communication bandwidth are limited, a novel ET mechanism is designed to reduce signals transmission frequency from sensor to controller (S-C) and vehicle-to-vehicle (V2V) in vehicular ad-hoc network (VANET). And, the virtual control non-differentiability issue caused by triggered discontinuous states is overcome by designing the homogeneous filters and event-based extended state observers (ESOs), to generate smooth estimates of states and disturbances. Then, fuzzy logic systems (FLSs) are introduced to approximate unknown functions of vehicle systems. To eliminate the adverse effects of input saturation, an auxiliary homogeneous system is devised. Based on Lyapunov stability theory, all signals of the closed-loop system are proven to be semi-globally uniformly ultimately bounded (SGUUB), vehicle individual stability and string stability are achieved. Finally, the simulation studies are displayed to explain the effectiveness of the ET platoon control protocol.

查看原文本刊更多论文

输入饱和的多车模糊自适应事件触发排控制

研究了输入饱和的网联多车（CMV）基于观测器的模糊自适应事件触发排控制问题。考虑到网络资源和通信带宽的限制，设计了一种新的ET机制，以降低车辆自组织网络（VANET）中传感器到控制器（S-C）和车对车（V2V）之间的信号传输频率。通过设计均匀滤波器和基于事件的扩展状态观测器（ESOs），克服了由触发的不连续状态引起的虚拟控制不可微性问题，从而产生状态和干扰的平滑估计。然后，引入模糊逻辑系统（FLSs）来逼近车辆系统的未知函数。为了消除输入饱和的不利影响，设计了一种辅助均匀系统。基于Lyapunov稳定性理论，证明了闭环系统的所有信号都是半全局一致最终有界的，实现了车辆个体稳定性和串稳定性。最后，通过仿真研究说明了ET排控协议的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of The Franklin Institute-engineering and Applied Mathematics 工程技术-工程：电子与电气

CiteScore

7.30

自引率

14.60%

发文量

586

审稿时长

6.9 months

期刊介绍： The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.