IEEE Systems Journal最新文献_第8页

Distributed $mathcal {H}_{infty }$ Resilient Bipartite Control of Multiagent Systems With Semi-Markov Switching 半马尔可夫交换多智能体系统的分布式$mathcal {H}_{infty }$弹性二部控制

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-13 DOI: 10.1109/JSYST.2024.3506812

Lin Sun;Mingming Wang;Chong Wu;Yuan Ping;Juntong Qi

{"title":"Distributed $mathcal {H}_{infty }$ Resilient Bipartite Control of Multiagent Systems With Semi-Markov Switching","authors":"Lin Sun;Mingming Wang;Chong Wu;Yuan Ping;Juntong Qi","doi":"10.1109/JSYST.2024.3506812","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3506812","url":null,"abstract":"When information interaction occurs among agents, the communication network could be attacked or the signal interrupted, culminating in systemic instability and mission failure. Therefore, this article proposes <inline-formula><tex-math>$mathcal {H}_{infty }$</tex-math></inline-formula> resilient bipartite control method to address the security problem of network information interaction among agents within competitive and cooperative multiagent systems. When the communication networks among agents are subject to a replay attack, the system model integrating multisensor weight fusion with an unknown input leader is established first. Then, a detection fusion algorithm is proposed to simultaneously uncover attacker behavior and identify tampered sensors. Considering the intermittent or interrupted communication resulting from the time variability of topology switching among agents, the switching topology is modeled by a semi-Markov process within a signed graph having positive and negative interaction weights. Subsequently, a distributed observer is designed to estimate the unknown input leader, utilizing the semi-Markov interactions among agents and incorporating an adaptive update mechanism to eliminate the dependency on global topology information. Ulteriorly, by solving convex optimization problems, a distributed resilient bipartite controller relying on the observer state is formulated, and achieves the expected <inline-formula><tex-math>$mathcal {H}_{infty }$</tex-math></inline-formula> performance while remaining resilient against replay attacks. Finally, the superiority of the proposed method is validated through comparative examples.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"152-163"},"PeriodicalIF":4.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637868","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

2024 Index IEEE Systems Journal Vol. 18 2024索引IEEE系统学报第18卷

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-12 DOI: 10.1109/JSYST.2024.3514272

引用次数: 0

AP Working Mode Selection and Blocklength Optimization for Industrial URLLC in Network-Assisted Full-Duplex Cell-Free Massive MIMO Systems 网络辅助全双工无小区大规模MIMO系统中工业URLLC的AP工作模式选择和块长度优化

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-11 DOI: 10.1109/JSYST.2024.3507049

Zheng Sheng;Pengcheng Zhu;Peng Hao;Feng Shu;Fu-Chun Zheng

{"title":"AP Working Mode Selection and Blocklength Optimization for Industrial URLLC in Network-Assisted Full-Duplex Cell-Free Massive MIMO Systems","authors":"Zheng Sheng;Pengcheng Zhu;Peng Hao;Feng Shu;Fu-Chun Zheng","doi":"10.1109/JSYST.2024.3507049","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3507049","url":null,"abstract":"Network-assisted full-duplex (NAFD) cell-free massive multiple-input–multiple-output (MIMO) systems, which virtually achieve FD transmission by employing half-duplex access points (APs) to simultaneously serve uplink (UL) and downlink (DL) users on the same frequency bands, can decrease latency and enhance reliability since self-interference cancellation is unnecessary and macrodiversity is provided, thus helping industrial ultrareliable low-latency communication applications. In this article, we consider a monitoring scenario of industrial automation in NAFD cell-free systems using finite blocklength codewords and analyze UL and DL signals, end-to-end (E2E) delay, and E2E decoding error probability (DEP). Then, an optimization problem is formulated to minimize the maximum E2E DEP among all actuators by jointly designing AP working mode, UL and DL blocklengths under the E2E delay constraint. We propose the estimation of distribution algorithm-differential evolution (EDA-DE) method with low complexity to obtain a near-optimal solution, where the block coordinate descent is used to divide this problem into two parts. The first AP working mode selection is solved by EDA, and the second UL and DL blocklengths are designed by DE. Simulation results indicate that the performance of our proposed EDA-DE method is close to that of exhaustive search with lower computational complexity.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"188-199"},"PeriodicalIF":4.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637845","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

Prescribed-Time Target Enclosing and Tracking With Motion and Visibility Constraints 带有运动和可见性约束的规定时间目标封闭和跟踪

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-09 DOI: 10.1109/JSYST.2024.3506560

Jiayi Zheng;Shulong Zhao;Xiangke Wang

引用次数: 0

IEEE Systems Council Information IEEE系统委员会信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-04 DOI: 10.1109/JSYST.2024.3486435

引用次数: 0

IEEE Systems Journal Publication Information IEEE系统期刊出版信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-04 DOI: 10.1109/JSYST.2024.3486431

引用次数: 0

IEEE Systems Journal Information for Authors IEEE系统期刊信息作者

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-04 DOI: 10.1109/JSYST.2024.3486437

引用次数: 0

Model Predictive Control for Nonlinear Discrete Cyber–Physical Systems With Joint Deception Attacks 具有联合欺骗攻击的非线性离散网络物理系统模型预测控制

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-03 DOI: 10.1109/JSYST.2024.3482449

Hongchao Song;Zhenlei Wang

引用次数: 0

Fast Resilience Assessment for Power Systems Under Typhoons Based on Spatial Temporal Graphs 基于时空图的台风作用下电力系统快速恢复力评估

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-12-03 DOI: 10.1109/JSYST.2024.3496754

Yuhong Zhu;Yongzhi Zhou;Yong Sun;Wei Li

{"title":"Fast Resilience Assessment for Power Systems Under Typhoons Based on Spatial Temporal Graphs","authors":"Yuhong Zhu;Yongzhi Zhou;Yong Sun;Wei Li","doi":"10.1109/JSYST.2024.3496754","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3496754","url":null,"abstract":"Despite great progress in modeling the resilience response of power systems under extreme events, it remains difficult to assess the evolutionary trend of system performance at a specific observation moment during such events. Conventional simulation-based assessment methods are typically time-consuming because a series of scenario-specific optimization problems must be solved as a prerequisite. Thus, a spatial-temporal graph-based approach is proposed for fast resilience assessment to provide timely warning information. The key factors, including observable meteorological information, component vulnerabilities, emergency dispatch, and repair strategies, are modeled in the form of matrices that depict the spatial and temporal relationships. Based on these matrices, a spatiotemporal graph neural network is developed to fit the mapping relationship between observable states and resilience indicators, which is trained offline and enables fast assessment via forward inference. Regarding the uncertainties of various extreme scenarios, the evaluation procedure combines the whole-process simulation and single-state replay technologies, which can respectively consider the uncertainties and provide deterministic data labeling for assessment. Finally, the effectiveness of the proposed method is verified on the benchmarks, including the IEEE 118-bus system and a realistic 2868-bus system.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"8-19"},"PeriodicalIF":4.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637912","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

Distributed Multiscale Formation Optimization for Multiagent Systems 多智能体系统的分布式多尺度队形优化

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2024-11-28 DOI: 10.1109/JSYST.2024.3502074

Zhaoxia Peng;Bofan Wu;Guoguang Wen;Tingwen Huang;Ahmed Rahmani

引用次数: 0