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Community-Enhanced Temporal Walks: Debiasing Locality Representation Learning on Continuous-Time Dynamic Graphs 社群增强时间漫步：连续时间动态图的去偏局域表示学习
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3616970
He Yu, Jing Liu
{"title":"Community-Enhanced Temporal Walks: Debiasing Locality Representation Learning on Continuous-Time Dynamic Graphs","authors":"He Yu, Jing Liu","doi":"10.1109/tcyb.2025.3616970","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3616970","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"37 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Bipartite Hybrid Event-Triggered Output Consensus of Heterogeneous Uncertain Multiagent Systems Under Fixed and Switching Topologies 固定和切换拓扑下异构不确定多智能体系统的自适应二部混合事件触发输出一致性
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3613960
Yuliang Cai, Chunhui Lv, Huaguang Zhang, Ruicheng Ma, Qiang He, Wei Yuan
{"title":"Adaptive Bipartite Hybrid Event-Triggered Output Consensus of Heterogeneous Uncertain Multiagent Systems Under Fixed and Switching Topologies","authors":"Yuliang Cai, Chunhui Lv, Huaguang Zhang, Ruicheng Ma, Qiang He, Wei Yuan","doi":"10.1109/tcyb.2025.3613960","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3613960","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"33 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization 基于约束学习的大规模多目标优化竞争群优化器
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3612091
Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung, Carlos A. Coello Coello
{"title":"A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization","authors":"Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung, Carlos A. Coello Coello","doi":"10.1109/tcyb.2025.3612091","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3612091","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"18 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human–Robot Collaboration 基于多步意图估计的安全感知物理人机协作自适应被动控制
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3616392
Haotian Liu, Zhengtao Zhang, Yuchuang Tong, Zhaojie Ju
{"title":"Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human–Robot Collaboration","authors":"Haotian Liu, Zhengtao Zhang, Yuchuang Tong, Zhaojie Ju","doi":"10.1109/tcyb.2025.3616392","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3616392","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"47 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Aerospace Fault Diagnosis With Conditioned Multiscale Generative Adversarial Networks 条件多尺度生成对抗网络增强航空航天故障诊断
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3617108
Lihao Ye, Ke Zhang, Bin Jiang, Silvio Simani
{"title":"Enhancing Aerospace Fault Diagnosis With Conditioned Multiscale Generative Adversarial Networks","authors":"Lihao Ye, Ke Zhang, Bin Jiang, Silvio Simani","doi":"10.1109/tcyb.2025.3617108","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3617108","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"17 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Suction Cup-Type Prescribed Performance Fault-Tolerant Fuzzy Control for Nonlinear Systems Considering Actuator Power 考虑作动器功率的吸盘型规定性能非线性系统容错模糊控制
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-10 DOI: 10.1109/tcyb.2025.3609402
Yu Xia, Zsófia Lendek, Radu-Emil Precup, Ramesh K. Agarwal, Imre J. Rudas
{"title":"Suction Cup-Type Prescribed Performance Fault-Tolerant Fuzzy Control for Nonlinear Systems Considering Actuator Power","authors":"Yu Xia, Zsófia Lendek, Radu-Emil Precup, Ramesh K. Agarwal, Imre J. Rudas","doi":"10.1109/tcyb.2025.3609402","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3609402","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"10 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy Adaptive Multitask Optimization 模糊自适应多任务优化
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-09 DOI: 10.1109/tcyb.2025.3614438
Chang-Long Wang, Zi-Jia Wang, Zhao-Feng Xue, Zhi-Hui Zhan, Sam Kwong, Jun Zhang
{"title":"Fuzzy Adaptive Multitask Optimization","authors":"Chang-Long Wang, Zi-Jia Wang, Zhao-Feng Xue, Zhi-Hui Zhan, Sam Kwong, Jun Zhang","doi":"10.1109/tcyb.2025.3614438","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3614438","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"87 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust Nonfragile Consensus Control of MASs With Controller Gain Perturbations and Switching Directed Networks. 具有控制器增益摄动和切换有向网络的质量鲁棒非脆弱一致控制。
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-09 DOI: 10.1109/tcyb.2025.3610222
Jian Liao,Bin Xin,Qing Wang,Delin Luo,Jun Cheng
{"title":"Robust Nonfragile Consensus Control of MASs With Controller Gain Perturbations and Switching Directed Networks.","authors":"Jian Liao,Bin Xin,Qing Wang,Delin Luo,Jun Cheng","doi":"10.1109/tcyb.2025.3610222","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3610222","url":null,"abstract":"This article investigates the robust nonfragile leaderless consensus control issues of nonlinear multiagent systems (MASs) in the presence of controller gain perturbations, external interferences, and switching directed networks. A novel distributed nonfragile consensus controller is first devised. Subsequently, on the basis of the property that an MAS directed network's Laplacian matrix can be broken down into the product of two particular matrices, the conversion from the consensus control issue to the asymptotic stability control issue is achieved via two variable substitutions related to the above property. Additionally, a sufficient condition, which can guarantee the MASs' asymptotic stability, is proposed and proved by Lyapunov stability theory and algebraic graph theory. Finally, the validity of the devised method is demonstrated by a simulation example.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"1 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Control for Time-Varying Formation Acquisition and Tracking With Orientation Alignment in Multivehicle Systems. 多车系统时变编队获取与定向跟踪的分布式控制。
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-08 DOI: 10.1109/tcyb.2025.3615519
Ahmed Fahim Mostafa,Baris Fidan,William Melek
{"title":"Distributed Control for Time-Varying Formation Acquisition and Tracking With Orientation Alignment in Multivehicle Systems.","authors":"Ahmed Fahim Mostafa,Baris Fidan,William Melek","doi":"10.1109/tcyb.2025.3615519","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3615519","url":null,"abstract":"In multiagent coordination tasks, motion trajectories are required to satisfy a range of constraints that present significant implementation challenges due to the limited onboard sensing and communication capacities. This article introduces distributed control laws that integrate nonholonomic motion constraints into bearing-based designs to enable time-varying formation tracking with minimal onboard resources. Unlike state-of-the-art formation control solutions, this approach maintains formation shape through relative bearing feedback and orientation alignment rather than tracking global target locations or regulating interagent relative positions and velocities. This distributed controller design has been validated in two deployment scenarios: 1) leaderless nonhierarchical formations and 2) leader-follower hierarchical formations. In hierarchical formations, follower agents employ a speed estimator within the orientation alignment framework to reach velocity consensus with the leader agent. The proposed controllers guarantee accurate tracking of time-varying reference trajectories, preserve the desired formation structures, and achieve velocity consensus for both nonhierarchical and hierarchical formations, as established by analysis and validated through simulations and experiments.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"29 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145246641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Framework of Distributed Prescribed-Time Consensus Homogeneous Domination Control for Feedforward Multiagent Systems. 前馈多智能体系统的分布式规定时间一致同构控制新框架。
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2025-10-08 DOI: 10.1109/tcyb.2025.3616579
Songsong Liu,Liuliu Zhang,Changchun Hua,Shuang Liu
{"title":"A New Framework of Distributed Prescribed-Time Consensus Homogeneous Domination Control for Feedforward Multiagent Systems.","authors":"Songsong Liu,Liuliu Zhang,Changchun Hua,Shuang Liu","doi":"10.1109/tcyb.2025.3616579","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3616579","url":null,"abstract":"This article focuses on the prescribed-time full-state consensus control of feedforward multiagent systems (MASs), and a new framework and analysis are presented. First, to deal with the obstacle arising from inherent feedforward nonlinearity, a crucial aspect of the design is to creatively construct the coordinate transformation at each step and the prescribed-time function as a scaling factor. Subsequently, a novel prescribed-time homogeneous domination framework for feedforward MASs is developed. The significant advantage is that this framework combines the low complexity of homogeneous domination control method design with the simplicity of stability analysis for state-scale schemes. Then, based on the recursive techniques, a distributed prescribed-time full-state consensus controller is designed, which drives the consensus errors to reach equilibrium at any prescribed time and ensures the stability of the entire time interval. Finally, the proposed algorithm is validated through the liquid-level control resonant circuit (LLCRC) system.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"39 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145246642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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