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IEEE Transactions on Systems, Man, and Cybernetics: Systems Publication Information
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551169
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551104
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引用次数: 0
IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551106
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551171
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引用次数: 0
TechRxiv: Share Your Preprint Research With the World! TechRxiv：与世界分享您的预印本研究成果！
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551108
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/TSMC.2025.3551108","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3551108","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 4","pages":"2721-2721"},"PeriodicalIF":8.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10933820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655054","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}
引用次数: 0
IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors IEEE Transactions on Systems, Man, and Cybernetics：为作者提供的系统信息
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-19 DOI: 10.1109/TSMC.2025.3551173
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors","authors":"","doi":"10.1109/TSMC.2025.3551173","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3551173","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 4","pages":"C4-C4"},"PeriodicalIF":8.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10933813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655082","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}
引用次数: 0
Finite-Time Input-to-State Stability of Neural Networks With Disturbances and Prescribed Performance
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-18 DOI: 10.1109/TSMC.2025.3547499
Mingxin Wang;Song Zhu;Xiaoyang Liu;Shiping Wen;Chaoxu Mu
{"title":"Finite-Time Input-to-State Stability of Neural Networks With Disturbances and Prescribed Performance","authors":"Mingxin Wang;Song Zhu;Xiaoyang Liu;Shiping Wen;Chaoxu Mu","doi":"10.1109/TSMC.2025.3547499","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3547499","url":null,"abstract":"In dynamic systems with communication limitations and delay, the input-to-state stability (ISS) is crucial for ensuring system performance. In this article, the finite-time ISS (FTISS) of time-delay neural networks (NNs) with disturbances is investigated. First, by further considering the idea of finite-time contractive stability (FTCS), the prescribed performance is proposed for the considered NNs system, thereby achieving better learning ability and robustness. Next, in order to achieve the above research objectives, some stability conditions for the considered NNs with disturbances are given by constructing sequentially two classes of Lyapunov functions and a finite-time contractive function. Subsequently, a stabilization strategy is proposed to further reduce the parameter requirements of the NNs system and improve its application value. Finally, the numerical simulation and comparative experiments have verified the effectiveness of the stability strategy provided in this article.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 5","pages":"3742-3751"},"PeriodicalIF":8.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845393","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
Distribution-Allowed Noise-Resistant Neural Dynamics for Constrained Time-Dependent Quadratic Programming With kWTA Application
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-18 DOI: 10.1109/TSMC.2025.3547387
Xin Ma;Dexiu Ma;Mei Liu
{"title":"Distribution-Allowed Noise-Resistant Neural Dynamics for Constrained Time-Dependent Quadratic Programming With kWTA Application","authors":"Xin Ma;Dexiu Ma;Mei Liu","doi":"10.1109/TSMC.2025.3547387","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3547387","url":null,"abstract":"Existing computational models for addressing time-dependent quadratic programming (TDQP) problems encounter some challenges, such as generating lagging errors, lack of noise immunity, and inability to be distributed. To handle these challenges, this article proposes a distribution-allowed noise-resistant neural dynamics (DANRND) model to solve TDQP problems with equality and inequality constraints by introducing auxiliary variables rather than by using the nonlinear complementary problem (NCP) function. The proposed model is able to effectively eliminate the hysteresis error and suppress the influence of noises. Specifically, the proposed model is capable of implementation in a distributed manner, which extends its scope of applications. Then, theoretical analyses are provided to prove the global convergence in both noise-free and noisy conditions. Simulative examples and comparison results with existing methods are offered, demonstrating the superiority of the proposed DANRND model. Finally, a distributed cooperative task based on the k-winner-take-all (kWTA) operation is performed on a multirobot platform to further verify the distributed implementation of the proposed DANRND model.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 5","pages":"3732-3741"},"PeriodicalIF":8.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845394","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 Estimation of Discrete-Time Fractional-Order Nonautonomous Neural Networks With Time Delays
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-17 DOI: 10.1109/TSMC.2025.3546945
Jie Deng;Hong-Li Li;Cheng Hu;Haijun Jiang;Jinde Cao
{"title":"State Estimation of Discrete-Time Fractional-Order Nonautonomous Neural Networks With Time Delays","authors":"Jie Deng;Hong-Li Li;Cheng Hu;Haijun Jiang;Jinde Cao","doi":"10.1109/TSMC.2025.3546945","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3546945","url":null,"abstract":"This article is dedicated to an investigation of state estimation for discrete-time fractional-order nonautonomous neural networks (DFNNNs) with leakage and discrete delays. To this end, some inequalities with more free parameters are obtained based on results related to nabla fractional difference, which considerably extend the existing results. In light of the effective estimator, some sufficient conditions to ensure the global asymptotic stability of the error system are obtained to solve the state estimation problem for DFNNNs by means of the linear matrix inequality (LMI) and the established inequalities. Finally, the theoretical results are verified by numerical simulations.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 5","pages":"3707-3719"},"PeriodicalIF":8.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839999","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
Diagnosability Verification and Enforcement in Labeled Petri Nets Under Sensor Attacks 传感器攻击下标签 Petri 网的可诊断性验证与执行
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-03-17 DOI: 10.1109/TSMC.2025.3545756
Shaopeng Hu;Zhiwu Li;Ding Liu
{"title":"Diagnosability Verification and Enforcement in Labeled Petri Nets Under Sensor Attacks","authors":"Shaopeng Hu;Zhiwu Li;Ding Liu","doi":"10.1109/TSMC.2025.3545756","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3545756","url":null,"abstract":"This article formalizes and solves the problems of diagnosability verification and enforcement in discrete event systems modeled with labeled Petri nets (LPNs) under sensor attacks. Given a plant, attackers work as a group in the framework of a coordinated distributed architecture and have the ability to edit some sensor readings to conceal the faults to confuse the operator. Furthermore, attackers necessarily remain furtive, i.e., their presence should not be discovered by the operator. In order to describe the set of all possible furtive attacks, a joint furtive diagnoser is established. We prove that an LPN under the above attacks is diagnosable if and only if its joint furtive diagnoser does not have the cycles composed of pairs of either faulty states and normal states, or faulty states and uncertain states. A new labeling function is proposed to enforce a plant to be diagnosable against as many attacks as possible. Examples are provided to illustrate the proposed method.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 5","pages":"3654-3667"},"PeriodicalIF":8.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839994","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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