Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3649952
{"title":"IEEE Systems, Man, and Cybernetics Society Information","authors":"","doi":"10.1109/TSMC.2025.3649952","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3649952","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"C3-C3"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372520","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3650017
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/TSMC.2025.3650017","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3650017","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1474-1474"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372523","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3650035
{"title":"IEEE Systems, Man, and Cybernetics Society Information","authors":"","doi":"10.1109/TSMC.2025.3650035","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3650035","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"C3-C3"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372532","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3650013
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/TSMC.2025.3650013","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3650013","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1123-1123"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3650021
{"title":"Thank You for Your Authorship","authors":"","doi":"10.1109/TSMC.2025.3650021","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3650021","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1476-1476"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372559","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3649954
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors","authors":"","doi":"10.1109/TSMC.2025.3649954","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3649954","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"C4-C4"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372528","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1109/TSMC.2025.3650037
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors","authors":"","doi":"10.1109/TSMC.2025.3650037","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3650037","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"C4-C4"},"PeriodicalIF":8.7,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11372558","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1109/TSMC.2025.3646685
Xiaozheng Jin;Jing Chi;Jiahu Qin;Wei Xing Zheng;Xiaoming Wu;Weiming Fu
This article is concerned with the output feedback security tracking control of a class of disturbed second-order nonlinear systems against denial-of-service (DoS) attacks. Novel radial basis function neural network (RBFNN)-based finite-time state observers are developed to estimate the system’s unavailable states. Adaptive filters are proposed to suppress the influences of disturbances and RBFNN approximation errors. Then, an RBFNN-based security controller is designed to alleviate the effects of nonlinear dynamics and DoS attacks based on the signals of observers and filters. It is established that the uniformly ultimately bounded output tracking results of the system can be obtained by utilizing an RBFNN-based finite-time observation and filtering compensation control designs through Lyapunov stability analysis. Comparative simulations are employed to display the feasibility and superiority of the designed RBFNN-based observation and filtering compensation control schemes of a nonlinear autonomous marine system (AMS).
{"title":"Robust Security Control of a Class of Second-Order Nonlinear Systems Against DoS Attacks","authors":"Xiaozheng Jin;Jing Chi;Jiahu Qin;Wei Xing Zheng;Xiaoming Wu;Weiming Fu","doi":"10.1109/TSMC.2025.3646685","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3646685","url":null,"abstract":"This article is concerned with the output feedback security tracking control of a class of disturbed second-order nonlinear systems against denial-of-service (DoS) attacks. Novel radial basis function neural network (RBFNN)-based finite-time state observers are developed to estimate the system’s unavailable states. Adaptive filters are proposed to suppress the influences of disturbances and RBFNN approximation errors. Then, an RBFNN-based security controller is designed to alleviate the effects of nonlinear dynamics and DoS attacks based on the signals of observers and filters. It is established that the uniformly ultimately bounded output tracking results of the system can be obtained by utilizing an RBFNN-based finite-time observation and filtering compensation control designs through Lyapunov stability analysis. Comparative simulations are employed to display the feasibility and superiority of the designed RBFNN-based observation and filtering compensation control schemes of a nonlinear autonomous marine system (AMS).","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1449-1463"},"PeriodicalIF":8.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116822","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}
Pub Date : 2026-01-12DOI: 10.1109/TSMC.2025.3646636
Lei Liang;Xia Huang;Zhen Wang;Hao Shen
This article addresses the issue of the event-triggered fixed-time consensus tracking control (ET-FT-CTC) for a class of strict-feedback nonlinear multiagent systems (NMASs) with unmeasurable states. The main challenges in these systems include partial unmeasurable states, completely unknown nonlinearities, and the occasional unavailability of the reference signal and its first- and second-order derivatives. To address these challenges, a nonlinear observer is designed to estimate the unmeasurable states, and a set of radial basis function neural networks (RBFNNs) are employed to approximate the unknown nonlinearities. Additionally, a novel update law is introduced to manage the unavailability of the reference signal. The dynamic surface control (DSC) approach is utilized to reduce the computational burden associated with the backstepping method, while a set of novel virtual controllers is constructed to avoid singularity problems. The proposed adaptive ET controller ensures that the CTC objective is achieved within a fixed time, without the occurrence of Zeno behavior. Two illustrative examples are provided to demonstrate the effectiveness of the proposed method.
{"title":"Event-Triggered-Based Adaptive Practical Fixed-Time Consensus Tracking Control for Nonlinear Multiagent Systems With Unmeasurable States","authors":"Lei Liang;Xia Huang;Zhen Wang;Hao Shen","doi":"10.1109/TSMC.2025.3646636","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3646636","url":null,"abstract":"This article addresses the issue of the event-triggered fixed-time consensus tracking control (ET-FT-CTC) for a class of strict-feedback nonlinear multiagent systems (NMASs) with unmeasurable states. The main challenges in these systems include partial unmeasurable states, completely unknown nonlinearities, and the occasional unavailability of the reference signal and its first- and second-order derivatives. To address these challenges, a nonlinear observer is designed to estimate the unmeasurable states, and a set of radial basis function neural networks (RBFNNs) are employed to approximate the unknown nonlinearities. Additionally, a novel update law is introduced to manage the unavailability of the reference signal. The dynamic surface control (DSC) approach is utilized to reduce the computational burden associated with the backstepping method, while a set of novel virtual controllers is constructed to avoid singularity problems. The proposed adaptive ET controller ensures that the CTC objective is achieved within a fixed time, without the occurrence of Zeno behavior. Two illustrative examples are provided to demonstrate the effectiveness of the proposed method.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1436-1448"},"PeriodicalIF":8.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116921","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}
Pub Date : 2026-01-06DOI: 10.1109/TSMC.2025.3646691
Xuetao Yang;Quanxin Zhu;Hua Wang
In this article, we investigate the exponential stabilization of stochastic systems with sampled-data output. Two kinds of piecewise continuous functions (with/without noise) called intersample predictors are constructed to approximate discrete output signals. Corresponding predictor-based observers are then designed to obtain a good convergence of the estimation error. Based on the proposed predictors and observers, novel event-triggered strategies are developed to achieve exponential stabilization and address the asynchronism issue in input-output measurements. Finally, an illustrative example is provided to verify the effectiveness of the theoretical results.
{"title":"Observer-Based Event-Triggered Control for Stochastic Systems With Sampled-Data Output","authors":"Xuetao Yang;Quanxin Zhu;Hua Wang","doi":"10.1109/TSMC.2025.3646691","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3646691","url":null,"abstract":"In this article, we investigate the exponential stabilization of stochastic systems with sampled-data output. Two kinds of piecewise continuous functions (with/without noise) called intersample predictors are constructed to approximate discrete output signals. Corresponding predictor-based observers are then designed to obtain a good convergence of the estimation error. Based on the proposed predictors and observers, novel event-triggered strategies are developed to achieve exponential stabilization and address the asynchronism issue in input-output measurements. Finally, an illustrative example is provided to verify the effectiveness of the theoretical results.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"56 2","pages":"1464-1473"},"PeriodicalIF":8.7,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116823","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}
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