IEEE Transactions on Control of Network Systems最新文献_第3页

Worst-Case Integrity Attacks and Resilient State Estimation With Partially Secured Measurements 最坏情况完整性攻击与部分安全测量的弹性状态估计

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-27 DOI: 10.1109/TCNS.2025.3534459

Jing Zhou;Jun Shang;Tongwen Chen

引用次数: 0

Convergence of Backward/Forward Sweep for Power Flow Solution in Radial Networks 径向网络潮流解的前向/后向扫描收敛性

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-27 DOI: 10.1109/TCNS.2025.3534557

Bohang Fang;Changhong Zhao;Steven H. Low

{"title":"Convergence of Backward/Forward Sweep for Power Flow Solution in Radial Networks","authors":"Bohang Fang;Changhong Zhao;Steven H. Low","doi":"10.1109/TCNS.2025.3534557","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3534557","url":null,"abstract":"Solving power flow is a fundamental problem in power systems. The normally radial (tree) topology of a distribution network induces a spatially recursive structure in ac power flow, which enables a class of efficient solution methods—backward/forward sweep (BFS). In this article, we revisit BFS from the perspective of its convergence, which was rarely addressed before. We introduce three variants of BFS algorithms: the first one calculates voltages and line currents in a single-phase network model; the second algorithm extends the first one to an unbalanced three-phase network with <inline-formula><tex-math>$Y$</tex-math></inline-formula> and <inline-formula><tex-math>$Delta$</tex-math></inline-formula> configurations; the third one calculates voltages and line power flows in the classical dist-flow model. We prove a sufficient condition, under which the first algorithm is a contraction mapping on a closed set of voltages and thus converges geometrically to a unique solution. This proof is extended to the second algorithm for three-phase networks. We then use the monotone convergence theorem to prove convergence of the third algorithm. We verify the convergence conditions, solution accuracy, and computational efficiency of BFS algorithms through simulations in IEEE test systems.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1780-1792"},"PeriodicalIF":4.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331747","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 Prescribed-Time Distributed Nash Equilibrium Seeking for Networked Games With Heterogeneous Dynamics and Unknown Uncertainties 具有异构动力学和未知不确定性的网络博弈的自适应规定时间分布式纳什均衡寻求

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-10 DOI: 10.1109/TCNS.2025.3528094

Yiyang Chen;Yongzhao Hua;Zhi Feng;Xiwang Dong

{"title":"Adaptive Prescribed-Time Distributed Nash Equilibrium Seeking for Networked Games With Heterogeneous Dynamics and Unknown Uncertainties","authors":"Yiyang Chen;Yongzhao Hua;Zhi Feng;Xiwang Dong","doi":"10.1109/TCNS.2025.3528094","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3528094","url":null,"abstract":"This article investigates the adaptive prescribed-time distributed Nash equilibrium (NE) seeking problems for networked games with heterogeneous dynamics and unknown uncertainties. The proposed algorithms are based on the two-layer structure, namely, the NE seeking part and the tracking control part. For players without uncertainties, adaptive parameters are utilized in the seeking part to avoid the use of global information. Auxiliary variables are constructed to seek the NE point within the prescribed time and serve as reference signals for the tracking control part. Then, state feedback control is designed to drive the strategies of all the players to the expected NE point in the prescribed time. Furthermore, the approximation theory is introduced to deal with unknown nonlinear uncertainties. Exponential parameters are involved in the designed estimates to accelerate the convergence rate. The Lyapunov method is utilized to show the prescribed-time convergence property of the algorithms. Besides, although the time-varying piecewise function is involved in the algorithms, the uniform boundedness of the control input can be ensured by carefully selecting the initial values of the auxiliary parameters. Finally, a simulation is given to show the effectiveness of the proposed algorithms.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1744-1755"},"PeriodicalIF":4.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331752","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

Fixed-Time Formation Tracking for Heterogeneous Linear Multiagent Systems With a Nonautonomous Leader 具有非自治领导者的异构线性多智能体系统的固定时间队形跟踪

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-10 DOI: 10.1109/TCNS.2025.3528095

Shiyu Zhou;Dong Sun;Gang Feng

引用次数: 0

Nonfragile Consensus Strategy for Variable Fractional-Order Multiagent Systems Based on Disturbance Observer 基于扰动观测器的变分数阶多智能体系统非脆弱一致策略

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-08 DOI: 10.1109/TCNS.2025.3527254

Liping Chen;Chuang Liu;António M. Lopes;Zhiqiang Zhang;YangQuan Chen

{"title":"Nonfragile Consensus Strategy for Variable Fractional-Order Multiagent Systems Based on Disturbance Observer","authors":"Liping Chen;Chuang Liu;António M. Lopes;Zhiqiang Zhang;YangQuan Chen","doi":"10.1109/TCNS.2025.3527254","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3527254","url":null,"abstract":"This article proposes nonfragile leader–follower consensus control for variable fractional-order multiagent systems under disturbance generated by an exogenous system. The developed technique is directly applicable to fixed fractional-order and integer-order multiagent systems. First, a nonfragile variable fractional-order disturbance observer is introduced, which is able to tolerate a certain degree of parameter uncertainty. Second, by employing the disturbance observer, a novel robust nonfragile consensus control scheme is developed, which not only ensures asymptotic stability of the consensus error system, but also accommodates parameter uncertainty in the physical controller's implementation. Third, new suffi cient conditions for the desired consensus protocol are derived using linear matrix inequalities (LMIs), as well as graph and Lyapunov theory. Finally, simulation examples are presented to illustrate the validity of the theoretical results. The proposed order-dependent LMI condition is less conservative than existing order-independent alternatives.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1709-1720"},"PeriodicalIF":4.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331540","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

Parallel Momentum Methods Under Biased Gradient Estimations 有偏梯度估计下的平行动量方法

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-08 DOI: 10.1109/TCNS.2025.3527255

Ali Beikmohammadi;Sarit Khirirat;Sindri Magnússon

引用次数: 0

Differentially Private Opinion Dynamics of Influence Networks 影响网络的不同私人意见动态

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-07 DOI: 10.1109/TCNS.2025.3526720

Guanglei Wu;Wenbing Zhang;Shuai Mao;Xiaotai Wu;Yang Tang

{"title":"Differentially Private Opinion Dynamics of Influence Networks","authors":"Guanglei Wu;Wenbing Zhang;Shuai Mao;Xiaotai Wu;Yang Tang","doi":"10.1109/TCNS.2025.3526720","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3526720","url":null,"abstract":"In this article, a unified influence network model incorporating differential privacy mechanisms (DPMs), called the differentially private opinion dynamics (DPODs) model, is proposed. In this model, each individual uses protected opinions rather than the private opinions of his/her neighbors to update his/her private opinions, where the protected opinion of an individual is a blend of private opinions and random noise following Laplace distribution. Building on stochastic analysis techniques and matrix theory, we show that the influence network under consideration converges under specific conditions governing individual sensitivities and interaction weights. In addition, the statistical properties related to convergence accuracy are established by utilizing the Markov inequality to estimate a lower bound on the probability of all individuals' final opinions converging to a neighborhood formed by their initial opinions' convex hull. We further conduct a differential privacy analysis to validate the efficacy of the proposed DPMs in safeguarding the private opinions of all individuals. Finally, two examples, including one of the Karate-Club networks, are provided to shed new light on the effectiveness of the theoretical results.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1662-1673"},"PeriodicalIF":4.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331756","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

Robust Quantized Consensus of Multiagent Systems Under Disturbance and DoS Attacks 干扰和DoS攻击下多智能体系统的鲁棒量化一致性

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-07 DOI: 10.1109/TCNS.2025.3526716

Xinhe Wang;Guanghui Wen;Dan Zhao;Tingwen Huang

{"title":"Robust Quantized Consensus of Multiagent Systems Under Disturbance and DoS Attacks","authors":"Xinhe Wang;Guanghui Wen;Dan Zhao;Tingwen Huang","doi":"10.1109/TCNS.2025.3526716","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3526716","url":null,"abstract":"External disturbances and denial-of-service (DoS) attacks pose significant challenges to the quantized control of multiagent systems (MASs). Most of the existing quantized control strategies primarily focus on designing scaling factors and constructing auxiliary systems without considering external disturbances. Note that these strategies require a highly accurate system model and will lead to the saturation of the quantizer if there exist external disturbances. To overcome the aforementioned shortcomings, a new scaling function is developed in this article by incorporating robustness factors into the scaling function design, significantly enhancing the robustness of the quantization mechanism. Based on this, a robust quantized control strategy is designed to achieve the bounded consensus of linear MASs in the presence of disturbance and DoS attacks, where the tradeoff among quantization level, consensus performance, and resilience to DoS attacks is explored. Besides, the robust design framework shows significant flexibility and efficiency in addressing the resilient control of nonlinear MASs subject to DoS attacks. Numerical simulations are provided to validate the theoretical results.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1626-1637"},"PeriodicalIF":4.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331748","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

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks 大型基础设施网络的可伸缩原始分解方案

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-07 DOI: 10.1109/TCNS.2025.3526709

Alexander Engelmann;Sungho Shin;François Pacaud;Victor M. Zavala

引用次数: 0

Consensus of Multiagent Systems Under Unbounded Communication Delays via Adaptive Distributed Observers 基于自适应分布式观测器的无界通信延迟下多智能体系统的一致性

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-07 DOI: 10.1109/TCNS.2025.3526704

Cong Bi;Xiang Xu;Lu Liu;Gang Feng

引用次数: 0