This paper presents a novel dual-loop event-triggered control framework designed to facilitate the formation control of unknown autonomous underwater vehicles (AUVs) operating under the constraints of arbitrarily large time-varying communication delays. The control scheme is executed in two distinct phases. Initially, an event-triggered distributed predictor is developed to estimate the position reference for each AUV, mitigating the impact of large, time-varying communication delays. Subsequently, a reinforcement learning-based approach is employed to derive an event-triggered optimal control policy for nonlinear autonomous underwater vehicle subject to unknown dynamics. The control performance of the proposed formation controller is analyzed and the Zeno-behaviors of the triggering functions are excluded. The effectiveness of the proposed control strategy is substantiated through comparative simulation studies, demonstrating its superiority over existing methods in terms of formation performance.
{"title":"Event-Triggered Formation Control of Unknown Autonomous Underwater Vehicles Subject to Arbitrarily Large Time-Varying Communication Delays","authors":"Wanbing Zhao;Yuanqing Xia;Di-Hua Zhai;Zhongqi Sun;Yuan Zhang","doi":"10.1109/TVT.2024.3491430","DOIUrl":"https://doi.org/10.1109/TVT.2024.3491430","url":null,"abstract":"This paper presents a novel dual-loop event-triggered control framework designed to facilitate the formation control of unknown autonomous underwater vehicles (AUVs) operating under the constraints of arbitrarily large time-varying communication delays. The control scheme is executed in two distinct phases. Initially, an event-triggered distributed predictor is developed to estimate the position reference for each AUV, mitigating the impact of large, time-varying communication delays. Subsequently, a reinforcement learning-based approach is employed to derive an event-triggered optimal control policy for nonlinear autonomous underwater vehicle subject to unknown dynamics. The control performance of the proposed formation controller is analyzed and the Zeno-behaviors of the triggering functions are excluded. The effectiveness of the proposed control strategy is substantiated through comparative simulation studies, demonstrating its superiority over existing methods in terms of formation performance.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 3","pages":"3901-3912"},"PeriodicalIF":6.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-04DOI: 10.1109/tvt.2025.3546243
Jie Huang, Xianzhi Lai, Fan Yang, Ni Zhang, Dusit Niyato, Weiheng Jiang
{"title":"Ellipsoid-based Learning for Robust Resource Allocation with Differentiated QoS in Massive Internet of Vehicles Networks","authors":"Jie Huang, Xianzhi Lai, Fan Yang, Ni Zhang, Dusit Niyato, Weiheng Jiang","doi":"10.1109/tvt.2025.3546243","DOIUrl":"https://doi.org/10.1109/tvt.2025.3546243","url":null,"abstract":"","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"37 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-04DOI: 10.1109/tvt.2025.3543505
Hye Yeong Lee, Man Hee Lee, Soo Young Shin
{"title":"Multi-UCA Assisted OAM for Full-Duplex IAB Networks","authors":"Hye Yeong Lee, Man Hee Lee, Soo Young Shin","doi":"10.1109/tvt.2025.3543505","DOIUrl":"https://doi.org/10.1109/tvt.2025.3543505","url":null,"abstract":"","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"32 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-04DOI: 10.1109/tvt.2025.3547694
Weiyi Zhang, Lin Zhao
{"title":"Command Filtered Backstepping Based Finite-Time Adaptive Fuzzy Event-Triggered Control for Unmanned Aerial Vehicle With Full-State Constraints","authors":"Weiyi Zhang, Lin Zhao","doi":"10.1109/tvt.2025.3547694","DOIUrl":"https://doi.org/10.1109/tvt.2025.3547694","url":null,"abstract":"","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"2 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：