IEEE Systems Journal最新文献

Muscle Fatigue Recognition by Fusing sEMG Complex Network and NIRS Muscle Oxygen Features 基于表面肌电信号复杂网络和近红外光谱肌氧特征的肌肉疲劳识别

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-30 DOI: 10.1109/JSYST.2026.3713136

Peihao Gong;Tao Shen;Hao Guo;Fei Qi;Chunguang Li;Juan Li;Lining Sun

{"title":"Muscle Fatigue Recognition by Fusing sEMG Complex Network and NIRS Muscle Oxygen Features","authors":"Peihao Gong;Tao Shen;Hao Guo;Fei Qi;Chunguang Li;Juan Li;Lining Sun","doi":"10.1109/JSYST.2026.3713136","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3713136","url":null,"abstract":"The muscle groups involved in human movement can be regarded as a highly coordinated complex system, and muscle fatigue may alter the coordination relationships among muscles. However, fatigue is a complex physiological process involving both intermuscle coordination and local metabolic responses, making it difficult to achieve comprehensive and stable assessment using a single signal source. In this study, multisource and multichannel biological signals were collected under different fatigue states, and surface electromyography (sEMG) complex-network features and near-infrared spectroscopy (NIRS) muscle oxygen features were extracted to characterize fatigue-related changes. For sEMG signals, muscle functional networks were constructed from the time-domain, frequency-domain, and time–frequency-domain perspectives to analyze changes in intermuscle coordination. For NIRS signals, muscle oxygen features were extracted to describe local oxygen metabolism during fatigue development. The extracted features were fused and used to construct a ThinResNet-based fatigue recognition model. The results showed that the fusion of sEMG and NIRS features improved fatigue recognition performance compared with using sEMG features alone. The proposed fusion model achieved an average accuracy of 90.03% in binary classification and 73.17% in three-class classification under the all-subject setting. These results indicate that multisource physiological feature fusion can provide a feasible approach for comprehensive muscle fatigue assessment.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1023-1034"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Frequency Heterogeneity in Radial Power Systems With High Penetration of Inverter-Based Generation 基于逆变器发电的高渗透径向电力系统的频率非均匀性

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-04 DOI: 10.1109/JSYST.2026.3715444

Thomas Philpott;Ashish P. Agalgaonkar;Thomas Brinsmead;Kashem Muttaqi

{"title":"Frequency Heterogeneity in Radial Power Systems With High Penetration of Inverter-Based Generation","authors":"Thomas Philpott;Ashish P. Agalgaonkar;Thomas Brinsmead;Kashem Muttaqi","doi":"10.1109/JSYST.2026.3715444","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3715444","url":null,"abstract":"Power system frequency is traditionally assumed to be spatially uniform, an assumption that underpins many analyses and operational frameworks. However, recent research has raised questions regarding the validity of this assumption under high penetration of inverter-based generators (IBGs). This article investigates spatial frequency heterogeneity in large-scale power systems using comprehensive time-domain simulations of a realistic synthetic model of the mainland Australian National Electricity Market (NEM). Established frequency heterogeneity analysis methods are applied to quantify both interarea and intraarea frequency variations following disturbances. The results show that spatial frequency variations in the NEM are nonnegligible, with their magnitude and spatial distribution strongly influenced by network topologies. Both interarea and intraarea frequency variations are observed, highlighting limitations of uniform frequency assumption for regional analyses. The proposed study further demonstrates that areas with high penetration of IBGs exhibit distinct spatial and temporal frequency heterogeneity characteristics compared to areas dominated by synchronous generators. These differences highlight the combined influence of network structure and generation technology on spatial frequency distribution. The research findings provide quantitative insight into the nature of frequency heterogeneity in large, radially connected power systems and highlight the limitations of uniform frequency assumption under increasing penetration of IBGs.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1046-1057"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A DRL-Based Collision Avoidance Method for USVs With Distributed Priority and Curriculum Learning 基于drl的分布式优先级和课程学习usv避碰方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-06-10 DOI: 10.1109/JSYST.2026.3691660

Zhe Sun;Yunsheng Fan;Guofeng Wang;Xiaojie Sun

引用次数: 0

Probabilistic Energy Flow Calculation of Integrated Power-Gas Systems Based on Sparse Polynomial Chaos Expansion 基于稀疏多项式混沌展开的综合电-气系统能量流概率计算

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-12 DOI: 10.1109/JSYST.2026.3717368

Qing Liu;Jiaqi Zhang;Xinyi Liu;Hao Zhong

{"title":"Probabilistic Energy Flow Calculation of Integrated Power-Gas Systems Based on Sparse Polynomial Chaos Expansion","authors":"Qing Liu;Jiaqi Zhang;Xinyi Liu;Hao Zhong","doi":"10.1109/JSYST.2026.3717368","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3717368","url":null,"abstract":"Probabilistic energy flow (PEF) is the foundation for the operation and planning of integrated power-gas systems (IPGS) considering multiple uncertainties from sources and loads. However, the PEF calculation based on traditional polynomial chaos expansion (PCE) incurs significantly higher computational cost in high-dimensional scenarios. Hence, an efficient PEF calculation method based on the sparse polynomial chaos expansion (SPCE) is proposed. First, a steady-state energy flow calculation model for IPGS is established considering the source-load uncertainty and the wind-solar correlation. Then, based on the principle of PCE, the bias estimation and cross-validation methods are used to choose the optimal expansion terms. Through a cyclic iteration involving the addition and deletion terms, the contribution of each expansion term is assessed to acquire the sparse polynomial. Finally, the probability distributions of each energy flow state variable of two typical IPGS are studied by the proposed SPCE method. Results indicate that the SPCE method can efficiently calculate the PEF and substantially reduce the computational cost compared with the traditional PCE and existing q-PCE methods while ensuring accuracy, particularly in the multidimensional input variables.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1141-1152"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Saturation Function-Based Adaptive Control With Guaranteed Fixed/Preassigned-Time Containment for Heterogeneous Multiagent Systems 基于饱和函数的异构多智能体系统固定/预分配时间约束自适应控制

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-10 DOI: 10.1109/JSYST.2026.3704574

Tingting Zhao;Jie Huang;Jiazhou Zeng;Jingli Huang;Shangkun Liu

{"title":"Saturation Function-Based Adaptive Control With Guaranteed Fixed/Preassigned-Time Containment for Heterogeneous Multiagent Systems","authors":"Tingting Zhao;Jie Huang;Jiazhou Zeng;Jingli Huang;Shangkun Liu","doi":"10.1109/JSYST.2026.3704574","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3704574","url":null,"abstract":"This article investigates the problem of fixed/preassigned-time (FIT/PRT) containment consensus for multiagent systems (MASs) characterized by multidimensional nonlinear dynamics and unknown external disturbances, where the agents exhibit heterogeneous self-dynamics. A radial basis function neural network is initially constructed to approximate the uncharted nonlinear dynamics, thereby alleviating the heterogeneity among agents. Subsequently, several novel adaptive distributed strategies based on the saturation function are developed to suppress the chattering induced by the sign function. The FIT-based saturation controller is utilized to realize the containment consensus of heterogeneous MASs, and the corresponding consensus conditions are derived using the FIT stability theorem. Furthermore, an innovative PRT-based saturation controller is designed to achieve PRT containment consensus, enabling the settling time to be flexibly specified according to task requirements while maintaining finite control gains. This design fundamentally enhances the conventional time-varying infinite-gain control approach. Finally, the effectiveness of the proposed distributed control strategy and the derived criteria is verified through several simulation examples.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"802-813"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A New Distributed Event-Triggered Interval Observer Using Compensation Measurement for Nonlinear Interconnected Systems and Its Application to N-Machine Power System 非线性互联系统补偿测量的分布式事件触发区间观测器及其在n机电力系统中的应用

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-06 DOI: 10.1109/JSYST.2026.3709853

Dinh Cong Huong

{"title":"A New Distributed Event-Triggered Interval Observer Using Compensation Measurement for Nonlinear Interconnected Systems and Its Application to N-Machine Power System","authors":"Dinh Cong Huong","doi":"10.1109/JSYST.2026.3709853","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3709853","url":null,"abstract":"This article proposes a novel distributed event-triggered compensation interval observer (ETCIO) for a general nonlinear interconnected (NI) system with disturbances in the state and output vectors, where the nonlinear function depends not only on the local state vector but also on the remote state vectors. In contrast to the existing event-triggered interval observers, which are used to estimate the state vectors of single systems (systems without interconnection between subsystems), the one in this article can be used to estimate the state vector of each subsystem of an NI system. Unlike the existing distributed event-triggered interval observers of interconnected systems, where the issue of compensation measurement for the missing output information over interevent intervals was not considered, and the nonlinear function only depends on the local state vector (which may limit its application), the one in this article can mitigate the loss of output information over interevent intervals and can be applied to a general NI system. The distributed ETCIOs are first designed. Then, the existence conditions of the proposed distributed ETCIOs are derived, and a convex optimization problem is established to minimize the bounds of the proposed ETCIOs. Third, an effective algorithm is derived to provide unknown matrices of the proposed ETCIOs. Finally, the obtained theoretical results are demonstrated by a numerical example and an application to the <inline-formula><tex-math>$N$</tex-math></inline-formula>-machine power system with steam valve control.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1070-1081"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Predefined-Time Fault-Tolerant Formation Control for Large-Scale Heterogeneous Wheeled Mobile Robot Swarms 大规模异构轮式移动机器人群的预定义时间容错编队控制

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-07 DOI: 10.1109/JSYST.2026.3706478

Shiyu Yin;Chen Chen;Zhengrong Xiang

{"title":"Predefined-Time Fault-Tolerant Formation Control for Large-Scale Heterogeneous Wheeled Mobile Robot Swarms","authors":"Shiyu Yin;Chen Chen;Zhengrong Xiang","doi":"10.1109/JSYST.2026.3706478","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3706478","url":null,"abstract":"This work addresses the fault-tolerant formation control problem involving heterogeneous wheeled mobile robots (WMRs) under undirected network graphs, with predefined-time (PdT) convergence guaranteed. To tackle the system heterogeneity and reduce the complexity of cooperative control design, a distributed control architecture with an embedded reference signal generator is proposed. By introducing the reference generator layer, the original formation control problem is decoupled into two relatively independent subproblems: 1) formation achievement among reference generators and 2) reference tracking for individual robots. PdT control strategies are developed for both layers. Subsequent stability analysis demonstrates that the entire system achieves the desired formation within a specific, user-defined timeframe. Because this duration is completely unaffected by the agents' initial states, the convergence process is fully predictable. In addition, an adaptive fault-tolerant control scheme is designed for the purpose of handling actuator degradations. This scheme estimates and compensates for fault effects in PdT, ensuring the system remains robust even under actuator faults. The proposed controller guarantees that fault-tolerant formation control is achieved within a PdTframe, maintaining system stability and performance despite actuator failures. To validate these theoretical contributions, comprehensive numerical simulations are conducted using a coordinated group of six WMRs.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"771-780"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Collaborative $H_{-}$/$H_infty$ Observer and Conformal Prediction for False Data Injection Attack Detection in Multiarea Power Systems 协作$H_{-}$ / $H_infty$多区域电力系统中假数据注入攻击检测的观测器和保形预测

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-21 DOI: 10.1109/JSYST.2026.3710557

Sun Hanxuan;Zuo Xin;Sun Qin;Zhang Yan;Yue Yuanlong

{"title":"Collaborative $H_{-}$/$H_infty$ Observer and Conformal Prediction for False Data Injection Attack Detection in Multiarea Power Systems","authors":"Sun Hanxuan;Zuo Xin;Sun Qin;Zhang Yan;Yue Yuanlong","doi":"10.1109/JSYST.2026.3710557","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3710557","url":null,"abstract":"This article proposes an integrated model-based and data-driven collaborative detection method for false data injection (FDI) attacks in multiarea power systems (MAPS). First, a model-based rapid detection layer is established using a finite-frequency <inline-formula><tex-math>$H_-/H_infty$</tex-math></inline-formula> observer. Its stability conditions are formulated as linear matrix inequalities via the generalized Kalman–Yakubovich–Popov lemma, which enhances attack sensitivity while maintaining robustness against disturbances. Second, a data-driven deep evaluation layer is developed based on conformal prediction with PID-based adaptive quantile adjustment to process the frequency-deviation data of each area. Prediction intervals and coverage variations are employed by the deep evaluation layer to support collaborative attack identification. The deep evaluation results are fed back to the rapid detection layer, where adaptive threshold adjustment improves FDI attack identification and reduces false alarms. Finally, the proposed method is validated on a three-area load frequency control system. Comparative studies with a recent data-driven two-stage detection method and a residual-threshold method demonstrate that the proposed method achieves a better balance between false alarms and missed detections while maintaining high detection sensitivity and accuracy under multifrequency and multiarea FDI attacks.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"906-917"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Trust-Based SIR and Gossip Framework for Misinformation Mitigation and Data Dissemination in Urban Networks 基于自适应信任的SIR和流言框架在城市网络中的错误信息缓解和数据传播

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-06-23 DOI: 10.1109/JSYST.2026.3701265

Yan Zheng;Ye Zhang;Yang Lu;Wei Xiang

{"title":"Adaptive Trust-Based SIR and Gossip Framework for Misinformation Mitigation and Data Dissemination in Urban Networks","authors":"Yan Zheng;Ye Zhang;Yang Lu;Wei Xiang","doi":"10.1109/JSYST.2026.3701265","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3701265","url":null,"abstract":"The Susceptible–Infected–Recovered epidemic models and decentralized gossip-based information dissemination techniques have been used as the foundational basis for enhancing data dissemination and mitigating misinformation in heterogeneous urban networks such as smart cities and IoT ecosystems. In the specific scenario of rapidly evolving urban networks, traditional approaches suffer from static parameterization and limited adaptability, resulting in delayed detection and excessive misinformation propagation. In this article, we propose the stochastic trust-enhanced calibration algorithm), an improved scheme that combines dynamic trust updates, adaptive gossip protocols, and a high-order Hamilton–Jacobi–Bellman stochastic optimization framework to address these challenges. Our approach iteratively calibrates key system parameters through gradient descent enhanced with fractal-inspired performance metrics and recursive coupling operators, ensuring robust stability and real-time adaptation. Experimental results demonstrate that our method reduces detection time by 50% (15 s versus 30 s), improves isolation efficiency by approximately 19% (0.95 versus 0.80), and increases communication throughput by 50% (1200 units versus 800 units), confirming its superior performance and scalability.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"669-680"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Exact Tracking Under Unknown Switching Control Directions and Input Delay: A Predefined-Time Control Approach for Multiagent Systems 未知切换控制方向和输入延迟下的精确跟踪：多智能体系统的一种预定义时间控制方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-10 DOI: 10.1109/JSYST.2026.3711061

Zhiwei Hua;Shengyuan Xu;Choon Ki Ahn

{"title":"Exact Tracking Under Unknown Switching Control Directions and Input Delay: A Predefined-Time Control Approach for Multiagent Systems","authors":"Zhiwei Hua;Shengyuan Xu;Choon Ki Ahn","doi":"10.1109/JSYST.2026.3711061","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3711061","url":null,"abstract":"Most existing results on nonlinear systems with unknown control directions (CDs) focus on asymptotic tracking. This article investigates the problem of adaptive predefined-time (PT) precise tracking for a class of nonlinear multiagent systems (MASs) with unknown finitely switching CDs and time-varying input delay. A novel control framework is established by introducing monotonically increasing sequences, which extends the classical Nussbaum function methodology to scenarios involving finitely switchable and completely unknown CDs via a proof by contradiction mechanism. Moreover, to compensate for the input delay, a class of delay compensation signals is introduced. By incorporating fuzzy logic systems and bounded estimation techniques, it is rigorously proven that the tracking error converges to zero within a PT, while simultaneously ensuring that full-state constraints are satisfied and all closed-loop signals are semiglobally ultimately bounded. The proposed method offers improved control performance and a broader applicability compared to existing approaches. Numerical simulations are provided to demonstrate the effectiveness of the proposed strategy.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1094-1105"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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