发布求助
文献互助 智能选刊 最新文献

IEEE Transactions on Fuzzy Systems最新文献

筛选
英文 中文
Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Delayed Input and Delayed State Via Improved Lyapunov-Krasovskii Function 通过改进的 Lyapunov-Krasovskii 函数实现具有延迟输入和延迟状态的随机非线性系统的自适应模糊控制
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-25 DOI: 10.1109/tfuzz.2024.3486574
Yanru Peng, Shengyuan Xu, Ju H. Park
{"title":"Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Delayed Input and Delayed State Via Improved Lyapunov-Krasovskii Function","authors":"Yanru Peng, Shengyuan Xu, Ju H. Park","doi":"10.1109/tfuzz.2024.3486574","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3486574","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"35 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490286","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
Hierarchical Fuzzy Model-Agnostic Explanation: Framework, Algorithms and Interface for XAI 分层模糊模型诊断解释：XAI 的框架、算法和界面
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-23 DOI: 10.1109/tfuzz.2024.3485212
Faliang Yin, Hak-Keung Lam, David Watson
{"title":"Hierarchical Fuzzy Model-Agnostic Explanation: Framework, Algorithms and Interface for XAI","authors":"Faliang Yin, Hak-Keung Lam, David Watson","doi":"10.1109/tfuzz.2024.3485212","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3485212","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"1 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488432","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
Fixed-time Event-triggered Impulsive Secure Synchronization of Quaternion-valued Fuzzy Neural Networks Subject to Stochastic Cyber Attacks 受随机网络攻击影响的四元值模糊神经网络的固定时间事件触发脉冲安全同步
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-23 DOI: 10.1109/tfuzz.2024.3485515
Lirong Liu, Haibo Bao, Jinde Cao
{"title":"Fixed-time Event-triggered Impulsive Secure Synchronization of Quaternion-valued Fuzzy Neural Networks Subject to Stochastic Cyber Attacks","authors":"Lirong Liu, Haibo Bao, Jinde Cao","doi":"10.1109/tfuzz.2024.3485515","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3485515","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"102 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488347","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
Membership Function-Dependent $H_{infty }$ Control for Set-Described T-S Fuzzy System via Improved Dynamic Memory Event-Triggered Mechanism 通过改进的动态记忆事件触发机制实现集合描述 T-S 模糊系统的成员函数相关 $H_{infty }$ 控制
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-23 DOI: 10.1109/TFUZZ.2024.3485175
Qinghua Hou;Jiuxiang Dong
{"title":"Membership Function-Dependent $H_{infty }$ Control for Set-Described T-S Fuzzy System via Improved Dynamic Memory Event-Triggered Mechanism","authors":"Qinghua Hou;Jiuxiang Dong","doi":"10.1109/TFUZZ.2024.3485175","DOIUrl":"10.1109/TFUZZ.2024.3485175","url":null,"abstract":"In this article, we address the \u0000<inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula>\u0000 control problem for a class of Takagi-Sugeno (T-S) fuzzy systems, where the premise variables often work in some fuzzy sets. By combining the properties of the product inference engine and set theory, we develop a membership function-dependent \u0000<inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula>\u0000 index, enhancing disturbance suppression by assigning diverse weights to various subsystem \u0000<inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula>\u0000 indices. An advanced event-triggered mechanism, utilizing dynamic memory variables, is proposed to expand the threshold and conserve resources, outperforming conventional dynamic event-triggered mechanisms (DETM). Theoretical analysis indicates that the dynamic memory event-triggered mechanism (DMETM) offers a more extensive event-triggered interval than the conventional memoryless DETM. Furthermore, in the proposed DMETM, a system-related dynamic variable is designed to replace the corresponding constant coefficient, increasing design flexibility and relaxing the design constraints of current state-of-the-art DETMs. Specifically, by constructing a monotonic nonincreasing bounded function, the system information is successfully integrated into the design of the dynamic coefficient. This design allows the threshold of the event-triggered condition to be adjusted more flexibly according to the system's operational status, thereby improving the practicality of the scheme in real-world applications. Besides, Zeno behavior is avoided. Finally, the effectiveness of the scheme is verified by an example.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"7157-7167"},"PeriodicalIF":10.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488433","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 Integral Sliding-Mode Control for a class of Nonlinear Spacecraft Proximity Systems under Multi-source Disturbances and Unmodeled Dynamics 多源干扰和未建模动态条件下一类非线性航天器近程系统的自适应积分滑模控制
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-22 DOI: 10.1109/tfuzz.2024.3485098
Yuan Zhu, Xin Ning, Zheng Wang, Caisheng Wei, Shichao Ma, Likuan Qiu, Shiyu Wang, Yunfei Bai
{"title":"Adaptive Integral Sliding-Mode Control for a class of Nonlinear Spacecraft Proximity Systems under Multi-source Disturbances and Unmodeled Dynamics","authors":"Yuan Zhu, Xin Ning, Zheng Wang, Caisheng Wei, Shichao Ma, Likuan Qiu, Shiyu Wang, Yunfei Bai","doi":"10.1109/tfuzz.2024.3485098","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3485098","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"204 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487596","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
Higher Order Fuzzy Membership in Motif Modularity Optimization 模态模块化优化中的高阶模糊成员关系
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-17 DOI: 10.1109/TFUZZ.2024.3482717
Jing Xiao;Ya-Wei Wei;Jing Cao;Xiao-Ke Xu
{"title":"Higher Order Fuzzy Membership in Motif Modularity Optimization","authors":"Jing Xiao;Ya-Wei Wei;Jing Cao;Xiao-Ke Xu","doi":"10.1109/TFUZZ.2024.3482717","DOIUrl":"10.1109/TFUZZ.2024.3482717","url":null,"abstract":"Higher order community detection (HCD) reveals both mesoscale structures and functional characteristics of real-world networks. Although many methods have been developed from diverse perspectives, to our knowledge, none can provide fine-grained higher order fuzzy community information. This study introduces a novel concept of higher order fuzzy memberships that quantify the membership grades of motifs to crisp higher order communities, thereby revealing partial community affiliations. Furthermore, we utilize higher order fuzzy memberships to enhance HCD via a general framework called fuzzy memberships-assisted motif-based evolutionary modularity. On the one hand, a fuzzy membership-based neighbor community modification strategy is designed to correct misassigned bridge nodes, thereby improving partition quality. On the other hand, a fuzzy membership-based local community merging strategy is proposed to combine excessively fragmented communities, enhancing local search ability. Experimental results indicate that the proposed framework outperforms state-of-the-art methods in both synthetic and real-world datasets, particularly in networks with ambiguous and complex structures.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"7143-7156"},"PeriodicalIF":10.7,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448780","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
Odyssey of Interval Type-2 Fuzzy Logic Systems: Learning Strategies for Uncertainty Quantification 区间-2 型模糊逻辑系统的奥德赛：不确定性量化的学习策略
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-17 DOI: 10.1109/tfuzz.2024.3482393
Ata Köklü, Yusuf Güven, Tufan Kumbasar
{"title":"Odyssey of Interval Type-2 Fuzzy Logic Systems: Learning Strategies for Uncertainty Quantification","authors":"Ata Köklü, Yusuf Güven, Tufan Kumbasar","doi":"10.1109/tfuzz.2024.3482393","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3482393","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"2 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448779","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
Dynamic Event-Based Hierarchical Fuzzy Prescribed Performance Control for Underactuated Systems With Uncertain Dead Zone 针对具有不确定死区的欠驱动系统的基于动态事件的分层模糊规定性能控制
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-16 DOI: 10.1109/TFUZZ.2024.3481633
Yi Shui;Lu Dong;Ya Zhang;Changyin Sun
{"title":"Dynamic Event-Based Hierarchical Fuzzy Prescribed Performance Control for Underactuated Systems With Uncertain Dead Zone","authors":"Yi Shui;Lu Dong;Ya Zhang;Changyin Sun","doi":"10.1109/TFUZZ.2024.3481633","DOIUrl":"10.1109/TFUZZ.2024.3481633","url":null,"abstract":"In this article, an event-based hierarchical fuzzy prescribed performance control strategy is proposed for a class of underactuated systems with input dead zones. It is worth noting that the slope of the input dead zone is uncertain (time-varying/fuzzy). Therefore, a suitable hierarchical fuzzy logic system (HFLS) is designed to compensate for uncertain dead zones while significantly reducing the number of fuzzy rules. In addition, a dynamic event-based mechanism (DEBM) is proposed, which not only determines when to update the control law of the upper-level fuzzy system, but also when to update the parameters of the lower-level fuzzy controller. Moreover, this strategy can better tolerate interference while achieving the specified transient and steady-state performance of the system, and greatly save computing/communication resources. Furthermore, a Lyapunov function is designed to prove the stability of the system and eliminate the Zeno phenomenon. Finally, simulations are conducted using a quadcopter under two uncertain dead zone conditions to verify the effectiveness of the method.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"7118-7128"},"PeriodicalIF":10.7,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443831","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
Observer-Based Sliding Mode Control for Stochastic Sampling Fuzzy Systems With Stochastic Communication Protocol 基于观测器的随机抽样模糊系统滑模控制与随机通信协议
IF 10.7 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-16 DOI: 10.1109/TFUZZ.2024.3479690
Junhui Wu;Jun Cheng;Huaicheng Yan;Leszek Rutkowski;Jinde Cao
{"title":"Observer-Based Sliding Mode Control for Stochastic Sampling Fuzzy Systems With Stochastic Communication Protocol","authors":"Junhui Wu;Jun Cheng;Huaicheng Yan;Leszek Rutkowski;Jinde Cao","doi":"10.1109/TFUZZ.2024.3479690","DOIUrl":"10.1109/TFUZZ.2024.3479690","url":null,"abstract":"This study examines observer-based sliding mode control for stochastic sampling Takagi–Sugeno fuzzy systems under a stochastic communication protocol (SCP). Aimed at reducing network bandwidth use and lessening the negative effects of signal transmission disruptions, the sampling signal sequence exhibits dual stochastic characteristics, influenced by both stochastic sampling and network attacks. The stochastic intervals between samples are governed by a Markov chain, and the samples are vulnerable to denial-of-service attacks during network transmission. Moreover, a novel SCP is developed utilizing sojourn probability and residence time information, enhancing communication efficiency. Subsequently, a suitable sliding mode control law is crafted based on the observed data, providing a sufficient condition for the mean square exponentially ultimate boundedness of the closed-loop system. The efficacy of the constructed methodology is demonstrated using a tunnel diode circuit model.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"7109-7117"},"PeriodicalIF":10.7,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443832","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
Bayesian Weighting for Multiple Criteria Group Decision-making with Interval Preference Information 利用区间偏好信息进行多标准群体决策的贝叶斯加权法
IF 11.9 1区 计算机科学
IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-16 DOI: 10.1109/tfuzz.2024.3482312
Fan Liu, Huchang Liao
{"title":"Bayesian Weighting for Multiple Criteria Group Decision-making with Interval Preference Information","authors":"Fan Liu, Huchang Liao","doi":"10.1109/tfuzz.2024.3482312","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3482312","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"8 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443833","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信