IEEE Transactions on Cybernetics最新文献_第2页

Observer-Based Asynchronous Stabilization for Networked Systems With Multichannel Attacks and Applications. 基于观测器的多通道网络系统异步稳定及其应用。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-08 DOI: 10.1109/tcyb.2025.3616527

Wenhai Qi,Zhenhao Li,Ju H Park,Huaicheng Yan,Zheng-Guang Wu

{"title":"Observer-Based Asynchronous Stabilization for Networked Systems With Multichannel Attacks and Applications.","authors":"Wenhai Qi,Zhenhao Li,Ju H Park,Huaicheng Yan,Zheng-Guang Wu","doi":"10.1109/tcyb.2025.3616527","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3616527","url":null,"abstract":"In this study, the observer-based asynchronous stabilization is addressed for NS under multichannel attacks, in which the asynchronous phenomenon refers to the mismatch between the controller mode and the actual attack mode. To accurately depict complex attack behaviors, a piecewise homogeneous semi-Markov chain (SMC) model modulated by a superstratum Markov chain is introduced, which can simultaneously describe the randomness of attack mode transitions and the time-varying nature of transition probabilities. Considering that the actual attack modes are inaccessible, an observer-based mode switching delay technique is designed to solve this challenge. Under the framework of a piecewise homogeneous SMC, a sufficient criterion is established to ensure the ς-error mean-square stability under random multichannel DoS attacks by means of a Lyapunov function depending on observed attack modes, piecewise homogeneous variables, and ET. Moreover, matrix decoupling and convexification techniques are employed to reduce the computational complexity. Finally, the effectiveness of the proposed method is demonstrated through two practical simulation cases.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"61 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145246640","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

Leader-Following Consensus With Prescribed Time-Bound and Order of Multiagent Systems With Increasing Scales: A Chain-Patterned Approach. 规模递增的多智能体系统中具有规定时限和顺序的领导-跟随共识：一种链式方法。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-08 DOI: 10.1109/tcyb.2025.3616239

Nengneng Qing,Xiaoli Luan,Fei Liu

引用次数: 0

Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing 基于认知表示优化的知识跟踪问题嵌入

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-08 DOI: 10.1109/tcyb.2025.3612399

Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang

引用次数: 0

Adaptive Fault-Tolerant Boundary Control of a Rotating Body-Beam System With Input Dead Zone and Actuator Fault. 具有输入死区和执行器故障的旋转体梁系统自适应容错边界控制。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-07 DOI: 10.1109/tcyb.2025.3615293

Yang Yu,Hai-Long Pei,Shuzhi Sam Ge

{"title":"Adaptive Fault-Tolerant Boundary Control of a Rotating Body-Beam System With Input Dead Zone and Actuator Fault.","authors":"Yang Yu,Hai-Long Pei,Shuzhi Sam Ge","doi":"10.1109/tcyb.2025.3615293","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3615293","url":null,"abstract":"This article studies the adaptive boundary control of a rotating body-beam system (RBBS) composed of a cantilevered beam with a tip payload connected to its upper end. The opposite end of the beam is fixed to the center of a rotational rigid disk. We assume that the dynamic process of the RBBS is affected by unknown disturbances and parameters. The external control actions, constituted by a control force exerted on the tip payload and a control torque acting on the disk, occur in dead zone nonlinearity and actuator failure. First, the mathematical expression of dead zone nonlinearity and actuator failure is combined and then divided into a desired control signal and a nonlinear input error. Second, by summing the input errors and external disturbances, adaptive boundary control and parameter compensation laws are designed for the RBBS to ensure vibration attenuation and regulate the rotating speed of the disk to a desired value. Third, the constructed control schemes ensure uniformity ultimately and boundedness regulation of the state variables, which is proved through the Lyapunov direct method. Finally, the effectiveness and robustness of the designed controllers are tested using numerical simulations.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"31 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240908","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

Time and Energy Costs for Flocking of Cucker-Smale System Under Denial-of-Service Attacks. 拒绝服务攻击下cucker - small系统群集的时间和能量成本

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-07 DOI: 10.1109/tcyb.2025.3611156

Yongzheng Sun,Hailan Yang,Xiangxin Yin,Guanghui Wen,Chunyu Yang

引用次数: 0

Incomplete-Information Dynamic Stackelberg Equilibrium Seeking by A Distributed Distributionally Robust Feedback Approach. 基于分布鲁棒反馈的不完全信息动态Stackelberg均衡寻求。

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-07 DOI: 10.1109/tcyb.2025.3613827

Longcheng Liu,Shuai Liu,Haotian Xu,Daniel E Quevedo

{"title":"Incomplete-Information Dynamic Stackelberg Equilibrium Seeking by A Distributed Distributionally Robust Feedback Approach.","authors":"Longcheng Liu,Shuai Liu,Haotian Xu,Daniel E Quevedo","doi":"10.1109/tcyb.2025.3613827","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3613827","url":null,"abstract":"This article investigates a multileader Stackelberg game where leaders lack critical information about the follower's objective function and face random disturbances with unknown distributions. Unlike conventional approaches requiring complete follower information, we consider leaders who manipulate physical plant states while observing the follower's strategy through private tracking responders. To address distributional uncertainty in the follower's best response, we reformulate the game as a distributionally robust equilibrium-seeking problem and develop a fully distributed FL algorithm. The proposed data-driven approach operates without prior knowledge of system models or disturbance distributions, enabling leaders to estimate states through neighbor communication and local gradient updates. We characterize equilibrium existence in nonconvex settings. The relationship between communication and gradient errors and the energy function of the dynamic system is established. The upper bound of the regret based on the proposed algorithm is rigorously analyzed. A case study demonstrates the framework's effectiveness in achieving distributionally robust solutions against uncertain stochastic perturbations.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"106 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240906","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 Multiattribute Decision-Making Framework for Multidisciplinary Lung Cancer Treatment Considering Expert Willingness for Opinion Transformation. 考虑专家意见转化意愿的肺癌多学科治疗多属性决策框架

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-07 DOI: 10.1109/tcyb.2025.3612413

Huchang Liao,Xiaofang Li,Yue Cheng,Li Luo,Dan Liu

{"title":"A Multiattribute Decision-Making Framework for Multidisciplinary Lung Cancer Treatment Considering Expert Willingness for Opinion Transformation.","authors":"Huchang Liao,Xiaofang Li,Yue Cheng,Li Luo,Dan Liu","doi":"10.1109/tcyb.2025.3612413","DOIUrl":"https://doi.org/10.1109/tcyb.2025.3612413","url":null,"abstract":"Lung cancer, with high morbidity and mortality rates, requires tailored treatment based on pathological subtypes, clinical staging, and individual performance scores. MDT is supposed to improve patient prognosis, making the treatment generation process a multiattribute multiexpert decision-making (MAMEDM) problem. Traditional MAMEDM models often necessitate experts with differing opinions to conform to group consensus, neglecting experts' willingness to adjust opinions. To address this issue, this study proposes an MAMEDM framework which can maximize experts' willingness for opinion transformation. Initially, a linguistic scale function is used to preprocess linguistic evaluations. A fuzzy clustering algorithm is introduced to cluster experts. The weights of subgroups are determined based on the network centrality and the professional titles of experts. Expert opinions within subgroups are aggregated based on the principle of maximizing the willingness of experts for opinion transformation, and then the ORESTE method is implemented to rank treatment options. A case study on lung cancer treatment option generation demonstrates the effectiveness of the proposed framework. Results show that considering experts' willingness to revise evaluations significantly enhances decision acceptance and reduces the impact of noncooperative behaviors.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"74 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240907","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

Advanced Anti-Swing Control of a Multirotor UAV Equipped With a Manipulator: A System Dynamics and Online Compensation Approach 机械臂多旋翼无人机的高级抗摆控制：系统动力学与在线补偿方法

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-06 DOI: 10.1109/tcyb.2025.3613692

Jiahao Rao, Jianqi An, Jinhua She, Takao Terano

引用次数: 0

Finite Strategy Switches of Coordinating and Anti-Coordinating Games on Weighted Networks 加权网络上协调与反协调对策的有限策略切换

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-06 DOI: 10.1109/tcyb.2025.3612486

Yuying Zhu, Zhipeng Zhang, Chengyi Xia, Xiang Li, Zengqiang Chen

引用次数: 0

Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification 用于鲁棒半监督数据流分类的学习对比演化微聚类

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-10-06 DOI: 10.1109/tcyb.2025.3612885

Hongliang Wang, Zhonglin Wu, Jinxia Guo, Qirui Hao, Xinyu Liu, Hongyuan Liu, Qinli Yang, Junming Shao

引用次数: 0