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}
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}
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}
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}
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}