IEEE Transactions on Fuzzy Systems最新文献_第9页

Adaptive Fuzzy Nonsingular Fixed-Time Bipartite Consensus Tracking Using Adding Power Integration Technique for Stochastic Nonlinear Constrained MASs 利用加权积分技术为随机非线性受限 MAS 实现自适应模糊非奇异固定时间双方共识跟踪

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-18 DOI: 10.1109/tfuzz.2024.3499961

Ben Niu, Yan Zhu, Yingying Liu, Zihao Shang, Ding Wang, Huanqing Wang, Wencheng Wang

引用次数: 0

Multivariate Long-Term Forecasting Using Multi-Linear Trend Fuzzy Information Granules for Traffic Time Series 使用多线性趋势模糊信息颗粒对交通时间序列进行多变量长期预测

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-14 DOI: 10.1109/tfuzz.2024.3497974

Xianfeng Huang, Zhiyuan Huang, Jianming Zhan

引用次数: 0

Cooperative Game-based Consensus Adjustment Mechanism with Distribution Linguistic Preference Relations for Group Decision Making 基于分布式语言偏好关系的合作博弈共识调整机制，用于群体决策

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-12 DOI: 10.1109/tfuzz.2024.3496661

Yanjing Guo, Yiran Wang, Zhongming Wu, Fanyong Meng

引用次数: 0

Observer-Based Predefined-Time Adaptive Fuzzy Prescribed Performance Tracking Control for a QUAV 基于观测器的 QUAV 预定义时间自适应模糊预定性能跟踪控制

IF 10.7 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-11 DOI: 10.1109/TFUZZ.2024.3496562

Guozeng Cui;Guanchao Zhu;Juping Gu;Qian Ma;Shengyuan Xu

{"title":"Observer-Based Predefined-Time Adaptive Fuzzy Prescribed Performance Tracking Control for a QUAV","authors":"Guozeng Cui;Guanchao Zhu;Juping Gu;Qian Ma;Shengyuan Xu","doi":"10.1109/TFUZZ.2024.3496562","DOIUrl":"10.1109/TFUZZ.2024.3496562","url":null,"abstract":"This article focuses on the problem of predefined-time adaptive output-feedback tracking control with prescribed performance for a quadrotor unmanned aerial vehicle (QUAV). Fuzzy logic systems (FLSs) are utilized to identify the unknown nonlinear dynamics of QUAV, and a fuzzy state observer is devised to estimate immeasurable states. By using the command filter, the problem of “explosion of complexity” is successfully averted, meanwhile the influence of filtered error is eliminated by way of the fractional power error compensation mechanism. The issue of singularity is effectively tackled by the hyperbolic tangent function's property and L'Hospital's rule. A predefined-time performance function is inserted into the control scheme to ensure that the tracking errors are restricted to the preassigned performance bounds. It is strictly proven that the closed-loop system is practically predefined-time stable, and the position and attitude tracking errors are driven into a small region around zero in a predefined time. Finally, a comparative simulation example is provided to show the validity and superiority of the proposed predefined-time adaptive control algorithm.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 2","pages":"789-798"},"PeriodicalIF":10.7,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599247","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

Intermittent Control Based Practical Fixed-time Synchronization of T-S Fuzzy Complex Networks 基于间歇控制的实用固定时间同步 T-S 模糊复杂网络

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-11 DOI: 10.1109/tfuzz.2024.3496738

Fanchao Kong, Rongting Tao, Shuaibing Zhu, Jinhu Lü

引用次数: 0

Recursive Estimator-Based Fuzzy Adaptive Control for Discrete-Time Uncertain Systems with State Saturations and Missing Measurements 基于递归估计器的模糊自适应控制，用于具有状态饱和与缺失测量的离散时间不确定系统

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-11 DOI: 10.1109/tfuzz.2024.3496781

Weiguo Shi, Jiapeng Liu, Hak-Keung Lam, Jinpeng Yu

引用次数: 0

Adaptive Fuzzy Consensus Tracking Using Monotone Tube Boundary Functions for Nonlinear MASs Under FDI Attacks: A Single-Parameter Integration Approach 使用单调管边界函数对 FDI 攻击下的非线性 MAS 进行自适应模糊共识跟踪：单参数集成方法

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-08 DOI: 10.1109/tfuzz.2024.3494252

Ben Niu, Luyao Wen, Xudong Zhao, Guangdeng Zong, Ding Wang, Baoyi Zhang

引用次数: 0

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set SDHGCN：结合阴影集的异构图卷积神经网络

IF 11.9 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-08 DOI: 10.1109/tfuzz.2024.3494864

Bin Yu, Hengjie Xie, Jingxuan Chen, Mingjie Cai, Hamido Fujita, Weiping Ding

引用次数: 0

Deep Graphical and Temporal Neuro-Fuzzy Methodology for Automatic Modulation Recognition in Cognitive Wireless Big Data 认知无线大数据中自动调制识别的深度图形和时态神经模糊方法

IF 10.7 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-08 DOI: 10.1109/TFUZZ.2024.3494243

Xin Jian;Qing Wang;Yaoyao Li;Abdullah Alharbi;Keping Yu;Victor Leung

{"title":"Deep Graphical and Temporal Neuro-Fuzzy Methodology for Automatic Modulation Recognition in Cognitive Wireless Big Data","authors":"Xin Jian;Qing Wang;Yaoyao Li;Abdullah Alharbi;Keping Yu;Victor Leung","doi":"10.1109/TFUZZ.2024.3494243","DOIUrl":"10.1109/TFUZZ.2024.3494243","url":null,"abstract":"With the advancement of Big Data technology, deep learning automatic modulation recognition (DLAMR) has undergone new improvements. Existing DLAMR methods focus mostly on the primary matching of the model itself or ubiquitous big communications data, which lack interpretability and ignore deep representations for the modulation mechanism of the communication signals; thus, difficulties in further improving the recognition accuracy and multiquadrant amplitude modulation (MQAM) discriminability in complex communication environments are encountered. In response to these challenges, this article proposes an innovative communication signal graph mapping method to address the uncertainty in the modulation mechanisms. Specifically, it models sampling points as nodes; connects inter- and intrasymbol points with edges to represent modulation mechanisms and propagation uncertainty; and maps amplitude, phase, in-phase, and quadrature values as node features. A deep graphical and temporal neuro-fuzzy methodology (GT-DNFS) that integrates graph attention networks and bidirectional long short-term memory networks is subsequently proposed for DLAMR. The numerical results show that GT-DNFS achieves a significantly higher recognition accuracy of 93.01%, and an MQAM (M=16, 64) discrimination of 94.5%. This research offers valuable insights for neuro-fuzzy networks and efficient DLAMR algorithm design.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 1","pages":"503-513"},"PeriodicalIF":10.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597852","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

Distributed Fuzzy Formation Control for Nonlinear Multiagent Systems Under Communication Delays and Switching Topology 通信延迟和交换拓扑条件下非线性多代理系统的分布式模糊编队控制

IF 10.7 1区计算机科学

IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-08 DOI: 10.1109/TFUZZ.2024.3494832

Haodong Zhou;Yi Zuo;Shaocheng Tong

{"title":"Distributed Fuzzy Formation Control for Nonlinear Multiagent Systems Under Communication Delays and Switching Topology","authors":"Haodong Zhou;Yi Zuo;Shaocheng Tong","doi":"10.1109/TFUZZ.2024.3494832","DOIUrl":"10.1109/TFUZZ.2024.3494832","url":null,"abstract":"In this article, we study the distributed fuzzy formation control problem for a class of strict-feedback nonlinear multiagent systems (NMASs) under communication delays and jointly connected switching topology. Since the communication between agents is affected by time-varying delay and some agents cannot access the leader's information under jointly connected switching topology, a communication-delay-related distributed formation observer is designed to estimate the leader's information and simultaneously mitigate the effects of communication delays. By using fuzzy logic systems to approximate the unknown functions, the controlled uncertain NMASs are transformed into the strict-feedback parameterized NMASs. Then, based on the designed communication-delay-related distributed formation observer and the backstepping control design theory, a fuzzy adaptive formation control algorithm is proposed. By constructing the Lyapunov functions, it is proved that the designed communication-delay-related distributed formation observer errors converge to zero exponentially and the proposed distributed fuzzy formation control algorithm can ensure that the closed-loop systems are semi-globally uniformly ultimately bounded, with the formation tracking errors converging to an adjustable neighborhood around zero. Finally, we apply the distributed fuzzy formation control scheme to marine surface vehicles (MSV), the simulation results and comparisons with the previous control methods verify its effectiveness.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"33 2","pages":"779-788"},"PeriodicalIF":10.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597845","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