IEEE Systems Journal最新文献_第9页

LandExplorer-CL: An Integrated Vehicle–UAV–Cloud System for Monitoring and Verifying Suspected Illegal Cultivated Land Occupation landdexplorer - cl：一种车载-无人机-云集成系统，用于监测和核实涉嫌非法占用耕地

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-06-01 Epub Date: 2026-03-19 DOI: 10.1109/JSYST.2026.3686806

Haoran Xu;Hongxin Jiang;Xiaodao Chen;Xiaohui Huang;Yuewei Wang;Yunliang Chen;Lizhe Wang

{"title":"LandExplorer-CL: An Integrated Vehicle–UAV–Cloud System for Monitoring and Verifying Suspected Illegal Cultivated Land Occupation","authors":"Haoran Xu;Hongxin Jiang;Xiaodao Chen;Xiaohui Huang;Yuewei Wang;Yunliang Chen;Lizhe Wang","doi":"10.1109/JSYST.2026.3686806","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3686806","url":null,"abstract":"Cultivated land (CL) is a critical foundation for ensuring food security and sustainable development. However, in recent years, driven by factors, such as population growth and economic expansion, cultivated land has faced threats, including illegal occupation. Advanced technologies and equipment are essential for the protection and monitoring of cultivated land. Although satellite remote sensing technologies can periodically monitor cultivated land changes on a large scale, their timeliness and flexibility are limited by revisit cycles and weather conditions. Uncrewed aerial vehicles (UAVs) provide high-resolution imagery and a wide field of view in field surveys. However, current UAV-based systems often lack automated data processing and sufficient mobility, which limits operational efficiency. To address these issues, this article proposes and implements LandExplorer-CL, an integrated vehicle–UAV–cloud system for monitoring and verifying suspected illegal cultivated land occupation. The system integrates a ground vehicle with off-road mobility and an automated UAV docking station. Together, these components form a highly mobile and rapidly deployable intelligent operation platform. Through the design of a specialized target detection model, the system achieves high-precision detection of suspected illegal occupation targets in cultivated land. In addition, an intelligent land-cover change analysis framework enhanced with retrieval-augmented generation and large multimodal models is utilized to reduce hallucinations and dependence on massive labeled samples. Extensive experimental results demonstrate the practical effectiveness of this system in monitoring cultivated land change polygons in large-scale and complex rural environments.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 2","pages":"480-491"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510289","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

Enterprise Resilience of Semiconductor Supply Chains With Critical Materials and Extreme Weather 关键材料和极端天气下半导体供应链的企业弹性

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-06-01 Epub Date: 2026-03-21 DOI: 10.1109/JSYST.2026.3689093

Davis C. Loose;Negin Moghadasi;Zachary A. Collier;Elvie Sellers;Igor Linkov;James H. Lambert

{"title":"Enterprise Resilience of Semiconductor Supply Chains With Critical Materials and Extreme Weather","authors":"Davis C. Loose;Negin Moghadasi;Zachary A. Collier;Elvie Sellers;Igor Linkov;James H. Lambert","doi":"10.1109/JSYST.2026.3689093","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3689093","url":null,"abstract":"Supply chains of semiconductors are integral to the global digital economy though are vulnerable to disruptions. This article examines the cascading effects of disruptions to semiconductor supply chains through a discrete event simulation (DES) framework. The paper explores two scenarios: 1) Weather-induced disruptions, such as extreme weather events that affect logistics and material availability, and 2) material supply shortages coupled with natural disaster risks, such as flooding and high winds. The approach describes how weather-related disruptions affect transportation and logistics, potentially leading to increased operational costs and delays, while material shortages impact production capacities directly. By employing DES, we assess the effectiveness of several mitigation strategies, including inventory management and supplier diversification. The results highlight the importance of adaptive strategies to enhance the resilience of semiconductor supply chains. The article, thus, illuminates complexities and interdependencies of these supply chains and provides insights for assuring supply chain functionality in the face of disruptions.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 2","pages":"528-539"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510689","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

Human-in-the-Loop-Based Secure Prescribed-Time Cooperative Path Following Control for Uncrewed Surface Vehicles 基于人在环的无人水面车辆安全时间协同路径跟踪控制

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-06-01 Epub Date: 2026-03-28 DOI: 10.1109/JSYST.2026.3691271

Jawhar Ghommam;Maarouf Saad;Juan Wang;Quanmin Zhu

引用次数: 0

A Time-Optimal Motion Planning Algorithm for Multiple Aerial Transportation Systems Based on Compact Capsule Volume 基于紧凑胶囊体积的多空中运输系统运动规划算法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-06-01 Epub Date: 2026-04-24 DOI: 10.1109/JSYST.2026.3682509

Yongtao Zhou;Yiming Wu;Jiuxiang Dong

{"title":"A Time-Optimal Motion Planning Algorithm for Multiple Aerial Transportation Systems Based on Compact Capsule Volume","authors":"Yongtao Zhou;Yiming Wu;Jiuxiang Dong","doi":"10.1109/JSYST.2026.3682509","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3682509","url":null,"abstract":"This work develops a motion planning algorithm for multiple aerial transportation systems that generates time-optimal and collision-aware trajectories, addressing strong dynamic coupling, complex collision conditions, and the conservatism of traditional bounding volumes. First, the complicated nonlinear and underactuated characteristics of the multiple aerial transportation systems are managed through model transforming without any linearization, thereby retaining all dynamic model information. Second, a novel capsule bounding volume is developed that explicitly incorporates the payload state into the geometric encapsulation of each aerial transportation system, which reflects the specific payload state in anti-collision. Compared to existing methods, the proposed bounding volume method fully considers the system dynamics, which brings greater safety to real-world experiments. Furthermore, the proposed volume is more compact, thereby resulting in a larger solution space during motion planning. Then, an idea of scale is presented, which assists in the detection of collisions. Finally, the dynamics and all the constrains are equivalently transformed to formulate the to-be-solved optimal problem, which is finally solved by Gauss pseudospectral method-based algorithms. Comparative experiments verify that the proposed method yields safer and more aggressive trajectories than existing approaches, ensuring strict compliance with swing angle constraints even during time-optimal flight.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 2","pages":"407-414"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510691","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

Active DDRC Controller Design for BD EV Charger With PV Array and ESBP 基于PV阵列和ESBP的BD型电动车充电器有源DDRC控制器设计

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-06-01 Epub Date: 2026-03-01 DOI: 10.1109/JSYST.2026.3682329

Baru Chauhan;Premalata Jena

{"title":"Active DDRC Controller Design for BD EV Charger With PV Array and ESBP","authors":"Baru Chauhan;Premalata Jena","doi":"10.1109/JSYST.2026.3682329","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3682329","url":null,"abstract":"The bidirectional (BD) electric vehicle (EV) charger is crucial for enabling power transfer between the grid and the vehicle and from the vehicle back to the grid (V2G). Effective and reliable control techniques are essential for maximizing the benefits of BD charging, particularly when integrating photovoltaic (PV) arrays and energy storage battery packs (ESBP) to alleviate grid strain. This article presents the design and implementation of a control technique, including the active decoupling dynamic reference current (DDRC) controller. The proposed controller incorporates a double PI control technique at both the front and back ends, combined with the DDRC technique, ensuring efficient control of the grid current, total harmonic distortion (THD), and DC-bus voltage. In addition, the V2G mode enhances grid stability during fluctuations in the grid. The system has been modeled in MATLAB/Simulink and validated using real-time experiments with a dSPACE (DS1104), and analysis is conducted on the IEEE 34-bus distribution system. The results validate that the proposed control technique effectively integrates EVs, PV arrays, and ESBP while maintaining power quality, focusing on THD and DC-bus voltage fluctuations, in compliance with IEEE 519-2014 standards. These results show that the proposed effective control technique enhances grid stability and power quality in BD charging applications.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 2","pages":"415-426"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510693","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 Bidirectional Feedback Actor–Critic Approach for Collaborative Target Search in Heterogeneous Intelligent Agent Systems 异构智能代理系统协同目标搜索的双向反馈actor - critical方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI: 10.1109/JSYST.2026.3654182

Xin Cao;He Luo;Guoqiang Wang;Shan Xue;Jian Yang;Amin Beheshti;Jia Wu

{"title":"A Bidirectional Feedback Actor–Critic Approach for Collaborative Target Search in Heterogeneous Intelligent Agent Systems","authors":"Xin Cao;He Luo;Guoqiang Wang;Shan Xue;Jian Yang;Amin Beheshti;Jia Wu","doi":"10.1109/JSYST.2026.3654182","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3654182","url":null,"abstract":"In target search tasks such as post-disaster rescue, collaboration between unmanned aerial vehicles and unmanned ground vehicles can significantly improve search efficiency. This study proposes an air–ground heterogeneous unmanned system cooperative search method termed bidirectional feedback actor–critic (BiF-AC). The key innovation lies in integrating aerial wide-area coverage with precise ground positioning to design a point-area combined search mechanism. A dynamic Voronoi-based method is further adopted to enhance collaboration within heterogeneous systems. Considering the characteristics of the target search problem, an actor–critic framework is introduced for agent training, bidirectional information interaction is employed, and a multilevel feedback reward function is constructed to ensure efficient search performance in diverse environments. Experimental results show that BiF-AC improves the target search success rates by an average of 40.3% and reduces search steps by 21.3% compared with other baseline algorithms. This research offers theoretical support and implementation paths for intelligent unmanned systems in emergency search, environmental monitoring, and related fields.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 1","pages":"123-134"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148512177","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

Designing a Decentralized Peer-to-Peer Energy Market for Multienergy Hybrid Energy Storages 多能混合储能的分散式点对点能源市场设计

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-03-01 Epub Date: 2026-03-11 DOI: 10.1109/JSYST.2026.3662684

Hossein Aghamohammadloo;Behnam Mohammadi-Ivatloo;Jamshid Aghaei

{"title":"Designing a Decentralized Peer-to-Peer Energy Market for Multienergy Hybrid Energy Storages","authors":"Hossein Aghamohammadloo;Behnam Mohammadi-Ivatloo;Jamshid Aghaei","doi":"10.1109/JSYST.2026.3662684","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3662684","url":null,"abstract":"This article presents a novel decentralized energy market framework developed for multienergy hybrid energy storage systems, incorporating battery energy storage, fuel cells with thermal and hydrogen storage, and prosumers as autonomous market participants. The key contributions are threefold: first, the strategic deployment of hybrid energy storage systems as multifunctional assets supporting energy arbitrage, combined heat and power generation, and sector coupling, second, the development of a fully decentralized peer-to-peer trading platform using the alternating direction method of multipliers, which ensures efficient coordination while preserving data privacy, and third, a dynamic energy sourcing mechanism that enables prosumers to optimize electricity and gas usage based on real-time market signals. Numerical simulations on a representative test network demonstrate the effectiveness and robustness of the proposed approach, achieving near-optimal performance with only a 0.59% deviation from the centralized benchmark while maintaining complete privacy.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 1","pages":"211-222"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11430211","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2026-03-01 Epub Date: 2026-04-21 DOI: 10.1109/JSYST.2026.3681385

引用次数: 0

Policy-Iteration-Based Asynchronous Stabilization of Single-Machine Infinite-Bus Markov Jump Systems 基于策略迭代的单机无限总线马尔可夫跳变系统异步镇定

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2026-03-01 Epub Date: 2026-03-19 DOI: 10.1109/JSYST.2026.3671752

Weidi Cheng;Yanyan Yin;Arindam Ghosh;Shuping He;Yanqing Liu

{"title":"Policy-Iteration-Based Asynchronous Stabilization of Single-Machine Infinite-Bus Markov Jump Systems","authors":"Weidi Cheng;Yanyan Yin;Arindam Ghosh;Shuping He;Yanqing Liu","doi":"10.1109/JSYST.2026.3671752","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3671752","url":null,"abstract":"This article proposes a technique to improve the performance of power systems that are subjected to random topology changes and communication-related latencies. A Markov jump system framework is established to model abrupt mode transitions caused by stochastic events, such as line faults and lightning strikes in single-machine infinite bus systems. Considering practical delays between supervisory control and data acquisition-based mode detection and control implementation, an asynchronous control architecture is developed in which the controller runs under mismatched mode information. A data-driven Q-learning-based policy iteration algorithm is proposed to compute the optimal controller gains without requiring knowledge of system dynamics or mode transition probabilities. The algorithm relies solely on previously collected input-state data that satisfy a rank condition and converges to the model-based optimal solution. Simulation studies show that the proposed controller reduces transient state deviations by about 30% compared with an linear matrix inequalities-based asynchronous controller, ensuring stability and effective damping performance under both mode mismatch and system uncertainties.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 1","pages":"256-265"},"PeriodicalIF":4.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147727239","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

Optimal Consensus for High-Order Dynamical Systems With Communication Delays and Unknown Control Directions 具有通信延迟和未知控制方向的高阶动力系统的最优一致性

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2026-03-01 Epub Date: 2026-04-02 DOI: 10.1109/JSYST.2026.3671828

Zhihe Wu;Qingling Wang

引用次数: 0