IEEE Transactions on Cybernetics最新文献_第4页

Predefined-Time Safe Cooperative Control for Multiagent Systems With Privacy Preservation and Unknown Disturbances 具有隐私保护和未知干扰的多智能体系统的预定义时间安全协同控制

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3611950

Xiaohui Yue, Huaguang Zhang, Jiawei Ma

引用次数: 0

State Estimation for Nonlinear Cyber-Physical Systems With Sensor Failures and Token Bucket Protocol Under False Data Injection Attacks 假数据注入攻击下传感器失效非线性网络物理系统和令牌桶协议的状态估计

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3612502

Yu-Ang Wang, Zidong Wang, Lei Zou, Fan Wang

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Statistic Discrepancy Oriented Cyclo-Non-Stationary Indicator for Wind Turbine Condition Monitoring Under Varying Speed Conditions 面向统计差异的变转速条件下风电机组状态监测循环非平稳指示器

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3611840

Guangyao Zhang, Zhongchao Liang, Tianyang Wang, Fulei Chu

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Dynamic Event-Triggered Bipartite Formation for MIMO Multiagent Systems With Quantized Data 具有量化数据的MIMO多智能体系统的动态事件触发二部形成

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3614090

Huarong Zhao, Jinjun Shan, Dezhi Xu, Hongnian Yu

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Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems 非线性多智能体系统的双链路编码事件触发控制

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3610698

Zekun Xu, Ruihang Ji, Qinglei Hu, Shuzhi Sam Ge, Dongyu Li

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Optimal Stealthy Attacks Against Remote State Estimation in Cyber–Physical Systems: A More Fine-Grained Stealthiness 网络物理系统中针对远程状态估计的最佳隐身攻击：一种更细粒度的隐身性

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-01 DOI: 10.1109/tcyb.2025.3613852

Xiu-Xiu Ren, Guang-Hong Yang

引用次数: 0

Fixed-Time Adaptive Control for Uncertain High-Order Nonlinear CPSs Against Dual-Channel Attacks 不确定高阶非线性cps抗双通道攻击的固定时间自适应控制

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-09-29 DOI: 10.1109/tcyb.2025.3611393

Haiqing Huang, Yi Niu, Xiao Zheng, Ben Niu, Xudong Zhao, Ding Wang

引用次数: 0

Policy-Iteration-Based Asynchronous Control of Jump Systems With Hidden Mode Observation and H ∞ Disturbance Attenuation 隐模观测与H∞干扰衰减跳跃系统的策略迭代异步控制

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-09-29 DOI: 10.1109/tcyb.2025.3609337

Weidi Cheng, Chengcheng Ren, Shuping He, Xiaoli Luan, Yanyan Yin, Changyin Sun

引用次数: 0

Local Regularity Model for Multimodal Multiobjective Optimization. 多模态多目标优化的局部正则性模型。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-09-26 DOI: 10.1109/tcyb.2025.3611013

Honggui Han,Yucheng Liu,Ying Hou,Junfei Qiao

{"title":"Local Regularity Model for Multimodal Multiobjective Optimization.","authors":"Honggui Han,Yucheng Liu,Ying Hou,Junfei Qiao","doi":"10.1109/tcyb.2025.3611013","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3611013","url":null,"abstract":"Multimodal multiobjective optimization aims to provide diversified acceptable decisions (ADs), including GOS with consistent objective evaluations and local optimal solutions (LOSs) with acceptable objective evaluations. However, the discrimination of LOSs highly depends on the distribution of candidate solutions, which may result in the catastrophic elimination of LOSs to damage the diversity in the decision space. To address this problem, a local regularity model (LRM) method is proposed to improve the distribution of candidate solutions. There are three novelties of LRM. First, a HPCA is developed to extract principal components for different nondominated sets. Then, the distribution features of different nondominated sets are described in segments by a small number of candidate solutions to construct LRM. Second, a self-organization strategy, based on the feature correlation and neighborhood violation analysis, is proposed to improve local fitting ability. Then, LRM are efficiently constructed to estimate the manifold of ADs. Third, a probability reproduction strategy is developed to reconstruct the population by LRM. Then, the population is reconstructed to enhance the distribution of candidate solutions in the decision space. Finally, the proposed optimization method is integrated into the popular multimodal MMOA to demonstrate its effectiveness in terms of the benchmark multimodal MMOP test suite.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"5 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145153469","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

Conflict Constrained Control for Switched Multiagent Systems With Nonaffine Nonlinear Faults and Uncertainties. 具有非仿射非线性故障和不确定性的切换多智能体系统的冲突约束控制。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-09-26 DOI: 10.1109/tcyb.2025.3611929

Xiyue Guo,Huaguang Zhang,Xiaohui Yue,Tianbiao Wang

{"title":"Conflict Constrained Control for Switched Multiagent Systems With Nonaffine Nonlinear Faults and Uncertainties.","authors":"Xiyue Guo,Huaguang Zhang,Xiaohui Yue,Tianbiao Wang","doi":"10.1109/tcyb.2025.3611929","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3611929","url":null,"abstract":"This article investigates a conflict-constrained control method for switched multiagent systems with nonaffine nonlinear faults. Existing studies on state constraints often assume that the reference signal always stays within the constraint set. However, in practice, constraints may be dynamically detected during system operation and conflict with predefined reference signals, causing brief violations of the constraint boundaries. When the reference signal cannot remain within the prescribed range, many backstepping control methods based on BLF and nonlinear transformations become ineffective. To address this, a new SRS is constructed by using a virtual circle approach, and a conflict-constrained control method is proposed. By combining a common Lyapunov function and the radial basis function neural network, the effects of switching behavior and nonaffine nonlinear faults can be effectively compensated. A shift function is also introduced in the coordinate transformation to further relax constraints on initial values. The proposed method is validated through multiple simulation experiments.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"85 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145153470","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