IEEE Transactions on Cybernetics最新文献

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Detection and Mitigation of Data Integrity Attacks in Vehicle Platoons Using Unknown-Input Kalman Filters and Penalized Weighted Least Squares.
IF 11.3 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-19 DOI: 10.1109/TCYB.2026.3740509
Chirag Tiwari Rao, Amir Dadashi, Amir Ameli, Hassan Naser
{"title":"Detection and Mitigation of Data Integrity Attacks in Vehicle Platoons Using Unknown-Input Kalman Filters and Penalized Weighted Least Squares.","authors":"Chirag Tiwari Rao, Amir Dadashi, Amir Ameli, Hassan Naser","doi":"10.1109/TCYB.2026.3740509","DOIUrl":"https://doi.org/10.1109/TCYB.2026.3740509","url":null,"abstract":"<p><p>This study enhances the security of vehicle platoon systems against false data injection attacks (FDIAs), which can compromise critical states, such as position, velocity, and acceleration. The proposed approach ensures safe and stable autonomous vehicle coordination by detecting and mitigating such attacks under flexible platoon conditions. Unlike the existing methods, it supports arbitrary communication topologies, varying platoon sizes, dynamic lead-vehicle behavior, and accounts for process and measurement noise-making it applicable to a wide range of real-world scenarios. A state-space model is formulated to capture the system dynamics, and an unknown input Kalman filter (UIKF) is employed to estimate both vehicle states and the lead vehicles acceleration as an unknown input. To counteract malicious data, a penalized weighted least squares (PWLSs) method is used to downweight suspicious measurements based on discrepancies between the observed and estimated values. The simulation results demonstrate the effectiveness of the proposed framework in detecting and mitigating FDIAs.</p>","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"PP ","pages":""},"PeriodicalIF":11.3,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223880","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
Transformer Autoencoder-Embedded Evolutionary Algorithm for Scheduling Energy-Minimized Task of Human–Cyber–Physical Systems 嵌入变压器自编码器的人-信息-物理系统能量最小化任务调度进化算法
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-16 DOI: 10.1109/tcyb.2026.3732980
ChengRan Lin, Hao Shi, ZhengCai Cao, MengChu Zhou
{"title":"Transformer Autoencoder-Embedded Evolutionary Algorithm for Scheduling Energy-Minimized Task of Human–Cyber–Physical Systems","authors":"ChengRan Lin, Hao Shi, ZhengCai Cao, MengChu Zhou","doi":"10.1109/tcyb.2026.3732980","DOIUrl":"https://doi.org/10.1109/tcyb.2026.3732980","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"33 1","pages":"1-14"},"PeriodicalIF":11.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218549","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
Stochastic Sampled-Data Security Synchronization Control for Delayed Reaction–Diffusion Neural Networks Under Multisource Deception Attacks 多源欺骗攻击下延迟反应扩散神经网络随机采样数据安全同步控制
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-16 DOI: 10.1109/tcyb.2026.3737999
Feng-Liang Zhao, Zi-Peng Wang, Junfei Qiao, Xiao-Wei Zhang, Huai-Ning Wu, Tingwen Huang
{"title":"Stochastic Sampled-Data Security Synchronization Control for Delayed Reaction–Diffusion Neural Networks Under Multisource Deception Attacks","authors":"Feng-Liang Zhao, Zi-Peng Wang, Junfei Qiao, Xiao-Wei Zhang, Huai-Ning Wu, Tingwen Huang","doi":"10.1109/tcyb.2026.3737999","DOIUrl":"https://doi.org/10.1109/tcyb.2026.3737999","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"4 1","pages":"1-14"},"PeriodicalIF":11.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218550","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 Estimation Distribution Multitask Optimization 自适应估计分布多任务优化
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-16 DOI: 10.1109/tcyb.2026.3741167
Shi-Yuan Zhou, Zi-Jia Wang, Wei-Jie Yu, Tian-Fang Zhao, Zhi-Hui Zhan, Sam Kwong, Jun Zhang
{"title":"Adaptive Estimation Distribution Multitask Optimization","authors":"Shi-Yuan Zhou, Zi-Jia Wang, Wei-Jie Yu, Tian-Fang Zhao, Zhi-Hui Zhan, Sam Kwong, Jun Zhang","doi":"10.1109/tcyb.2026.3741167","DOIUrl":"https://doi.org/10.1109/tcyb.2026.3741167","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"43 1","pages":"1-14"},"PeriodicalIF":11.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218548","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 Feature Extraction-Based Cooperative Learning Framework for High-Dimensional Expensive Problems 基于特征提取的高维昂贵问题合作学习框架
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-16 DOI: 10.1109/tcyb.2026.3737284
Xiaoling Wang, Qi Kang, MengChu Zhou, Qi Deng, Kefan Wang, Khaled Sedraoui
{"title":"A Feature Extraction-Based Cooperative Learning Framework for High-Dimensional Expensive Problems","authors":"Xiaoling Wang, Qi Kang, MengChu Zhou, Qi Deng, Kefan Wang, Khaled Sedraoui","doi":"10.1109/tcyb.2026.3737284","DOIUrl":"https://doi.org/10.1109/tcyb.2026.3737284","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"16 1","pages":"1-14"},"PeriodicalIF":11.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149218551","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
Optimization of Area Under ROC Curve (AUC) via Ensemble Mini-Batch Approach. 基于集成小批量方法的ROC曲线下面积优化。
IF 11.3 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-14 DOI: 10.1109/TCYB.2026.3740435
San Gultekin, Ramazan Yaz, Martin Pavlovski, Sinan Gezici
{"title":"Optimization of Area Under ROC Curve (AUC) via Ensemble Mini-Batch Approach.","authors":"San Gultekin, Ramazan Yaz, Martin Pavlovski, Sinan Gezici","doi":"10.1109/TCYB.2026.3740435","DOIUrl":"10.1109/TCYB.2026.3740435","url":null,"abstract":"<p><p>Optimizing the area under the receiver operating characteristic (ROC) curve (AUC) has garnered increasing attention in modern signal processing and machine learning applications due to the recent proliferation of high-volume and highly skewed datasets. Existing scalable approaches utilize linear models with limited modeling ability, kernel methods with high computational cost, or neural network models, which may be inadequate for the problem at hand. In this correspondence, we extend the mini-batch AUC optimization (MBA) algorithm called MBA to nonlinear settings and propose a new approach named ensemble MBA (EMBA). In this approach, we utilize MBA to learn randomized neural networks as base rankers, each of which entails a convex optimization problem. We then combine these base rankers in a principled manner via constrained logistic regression to learn an ensemble ranker/classifier. The performance benefits of the new approach are illustrated on real-world datasets.</p>","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"PP ","pages":""},"PeriodicalIF":11.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181115","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
Data-Driven Control of Discrete-Time Systems With Time-Varying Delay Under Multiple Data Perturbations. 多数据扰动下时变时滞离散系统的数据驱动控制。
IF 11.3 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-14 DOI: 10.1109/TCYB.2026.3738420
Yu-Long Fan, Chuan-Ke Zhang, Jing-Yue Song, Xing-Chen Shangguan, Yong He
{"title":"Data-Driven Control of Discrete-Time Systems With Time-Varying Delay Under Multiple Data Perturbations.","authors":"Yu-Long Fan, Chuan-Ke Zhang, Jing-Yue Song, Xing-Chen Shangguan, Yong He","doi":"10.1109/TCYB.2026.3738420","DOIUrl":"10.1109/TCYB.2026.3738420","url":null,"abstract":"<p><p>This article investigates the problem of data-driven control design for unknown linear discrete-time systems with time-varying delays, where the controller gains are learned from input-state data affected by multiple perturbations. First, considering that the available measurements may be affected by noise, errors, and timing mismatches, a data-based parametric representation is constructed to characterize the set of all systems consistent with the collected perturbed data that contains the true system. Then, using the obtained data-based representation, the delay-dependent data-driven control design problem is addressed by applying the Lyapunov-Krasovskii functional method and linear matrix inequality technique, ensuring closed-loop stability for all systems in the admissible set. Finally, a case study on a batch reactor is provided to demonstrate the effectiveness and advantages of the proposed control approach.</p>","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"PP ","pages":""},"PeriodicalIF":11.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181003","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 Fault-Tolerant Control for Reentrant Manufacturing Systems With Periodic Faults. 具有周期性故障的可重入制造系统的鲁棒容错控制。
IF 11.3 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-13 DOI: 10.1109/TCYB.2026.3739902
Kexin Zhang, Qing Gao, Michael V Basin, Steven X Ding, Jinhu Lu
{"title":"Robust Fault-Tolerant Control for Reentrant Manufacturing Systems With Periodic Faults.","authors":"Kexin Zhang, Qing Gao, Michael V Basin, Steven X Ding, Jinhu Lu","doi":"10.1109/TCYB.2026.3739902","DOIUrl":"https://doi.org/10.1109/TCYB.2026.3739902","url":null,"abstract":"<p><p>This article investigates the robust fault-tolerant control problem for a class of reentrant manufacturing systems (RMSs) subject to periodic workstation faults. First, an impulsive hyperbolic partial differential equation (IHPDE) continuum model is introduced to characterize the spatiotemporal evolution of work-in-progress (WIP) in RMSs, in which the state jumps caused by workstation faults are explicitly captured. The fault-induced WIP state jumps are further classified into two cases, namely, mixed WIP state jumps and destabilizing WIP state jumps. Then, for each case, a fuzzy-model-based integral sliding mode control approach is developed to achieve fault-tolerant stabilization of the considered RMSs. Under the proposed control schemes, the RMSs affected by periodic machinery failures can robustly and agilely track predicted market demand while maintaining stable production output. Finally, numerical simulations are provided to demonstrate the effectiveness of the proposed fault-tolerant control schemes, and the potential Zeno behavior of the closed-loop system is also discussed.</p>","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"PP ","pages":""},"PeriodicalIF":11.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149181250","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
Interpretable Stochasticity for Adjustable Chance-Constrained Programming 可调机会约束规划的可解释随机性
IF 11.8 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-12 DOI: 10.1109/tcyb.2026.3740011
Jeng-Shyang Pan, Pei-Cheng Song, Ning Zhong, Shu-Chuan Chu
{"title":"Interpretable Stochasticity for Adjustable Chance-Constrained Programming","authors":"Jeng-Shyang Pan, Pei-Cheng Song, Ning Zhong, Shu-Chuan Chu","doi":"10.1109/tcyb.2026.3740011","DOIUrl":"https://doi.org/10.1109/tcyb.2026.3740011","url":null,"abstract":"","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"158 1","pages":""},"PeriodicalIF":11.8,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149152423","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
State-Rate Bumpless Transfer Control for Quadrotor Systems Subject to Incomplete Statistics Information. 基于不完全统计信息的四旋翼系统状态-速率无颠簸传递控制。
IF 11.3 1区 计算机科学
IEEE Transactions on Cybernetics Pub Date : 2026-10-09 DOI: 10.1109/TCYB.2026.3729621
Bo Cai, Bo Li, Zepeng Ning, Yiming Wang, Yanzheng Zhu
{"title":"State-Rate Bumpless Transfer Control for Quadrotor Systems Subject to Incomplete Statistics Information.","authors":"Bo Cai, Bo Li, Zepeng Ning, Yiming Wang, Yanzheng Zhu","doi":"10.1109/TCYB.2026.3729621","DOIUrl":"10.1109/TCYB.2026.3729621","url":null,"abstract":"<p><p>This article deals with the state-rate bumpless transfer control problem where the quadrotor systems suffer the synthetic effects produced by incomplete information of statistics, which includes hidden modes and a partially known semi-Markov kernel (S-MK). Upon modeling the stochastic uncertainties by a hidden semi-Markov chain (HS-MC), the inevitable bumps of quadrotor states caused by stochastic switching dynamics are taken into account. Provided that the state-rate bumpless transfer performance is considered in the design of control laws, an observed-mode-dependent control scheme is presented to weaken the effect that results from mode mismatch while it restrains the state-rate bumps. Motivated by the statistical properties of sojourn time and mode transitions, sojourn-time probability mass functions (PMFs) and transition probabilities (TPs) of an embedded Markov chain (EMC) are regarded as partially unknown in view of the difficulty of acquiring these jump parameters in reality, which makes the class of systems under consideration more general. Sufficient conditions are established ensuring that the dynamic system is error-mean square stable; the existence criterion of the bumpless-transfer controller is further developed via bump-limitation constraints. The developed strategy is examined, and the benefits of introducing the bumpless constraints are also shown in a numerical validation.</p>","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"PP ","pages":""},"PeriodicalIF":11.3,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149148363","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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