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TechRxiv: Share Your Preprint Research With the World!
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.2025.3551175
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引用次数: 0
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.2025.3551102
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引用次数: 0
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
Protocol-Based SMC for Fuzzy Semi-Markov Switching Systems With Multizone Probabilitic Time-Varying Delays
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-02-19 DOI: 10.1109/TSMC.2025.3538550
Jiangming Xu;Jun Cheng;Mohammed Chadli;Wenhai Qi
{"title":"Protocol-Based SMC for Fuzzy Semi-Markov Switching Systems With Multizone Probabilitic Time-Varying Delays","authors":"Jiangming Xu;Jun Cheng;Mohammed Chadli;Wenhai Qi","doi":"10.1109/TSMC.2025.3538550","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3538550","url":null,"abstract":"This study addresses the sliding mode control (SMC) for Takagi-Sugeno (T-S) fuzzy semi-Markov switching systems (FSMSSs) characterized by multizone probabilistic time-varying delays. The dynamic behaviors of FSMSSs are captured through a comprehensive semi-Markov process framework that accommodates arbitrary switching scenarios. In addition, a tailored SMC law that ensures the system’s trajectory reaches and maintains a preset sliding surface over a specified finite time is applied. To address the challenges of communication load, a novel multizone probabilistic dynamic event-triggered protocol is introduced, leveraging the time-varying nature of transmission delays and incorporating two adjustable internal dynamic variables. The establishment of sufficient conditions for ensuring the stochastic finite-time stability of the closed-loop system is achieved through an effective Lyapunov functional methodology. Finally, the validity and superiority of the proposed methodologies is demonstrated by a mass-spring-damper mechanical system.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 4","pages":"3026-3035"},"PeriodicalIF":8.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655040","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 Persistent Excitation Level of Training Trajectories in Deterministic Learning
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-02-19 DOI: 10.1109/TSMC.2025.3538505
Juncheng Xu;Yiming Fei;Jiangang Li;Yanan Li
{"title":"Optimization of Persistent Excitation Level of Training Trajectories in Deterministic Learning","authors":"Juncheng Xu;Yiming Fei;Jiangang Li;Yanan Li","doi":"10.1109/TSMC.2025.3538505","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3538505","url":null,"abstract":"When the persistent excitation (PE) condition is met, neural network control based on deterministic learning can approximate the true dynamics of nonlinear systems. However, in this approach, learning speed and accuracy are severely constrained by the PE level. In this article, we investigate the explicit relationship between the PE level and input signals. Specifically, this research investigates a neural network structure determined by the mechanical characteristics of a computer numerical control (CNC) machine tool. We explore a method to generate training trajectories that fill the designated feature space or repeatedly pass through hidden layer nodes, ensuring that deterministic learning achieves a sufficient PE level. Then, we validated the effectiveness of the proposed method through experiments conducted on a three-axis CNC machine tool using actual machining trajectories. The experimental results consistently confirmed that the generated training trajectories endow the RBF neural network with more feature information than random NURBS trajectories. Additionally, the tracking error and contour error of the CNC machine tool were significantly reduced.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 4","pages":"2924-2936"},"PeriodicalIF":8.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667742","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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