IEEE Systems Journal最新文献_第4页

Distributed Design of Joint Transmit and Receive Beamforming for MIMO Radar Networks Using Game Theory 基于博弈论的MIMO雷达网络联合收发波束形成分布式设计

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-13 DOI: 10.1109/JSYST.2025.3565289

Jiale Wu;Chenguang Shi;Jianjiang Zhou;Jinhai Huang

{"title":"Distributed Design of Joint Transmit and Receive Beamforming for MIMO Radar Networks Using Game Theory","authors":"Jiale Wu;Chenguang Shi;Jianjiang Zhou;Jinhai Huang","doi":"10.1109/JSYST.2025.3565289","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3565289","url":null,"abstract":"This article investigates the problem of joint transmit and receive beamforming for a colocated multiple-input multiple-output radar network with multiple targets and signal-dependent interferences. At first, a distributed beamforming design scheme is developed using noncooperative game theory. The basis of this scheme is to minimize the maximum transmit power of antennas for each radar while adhering to the constraint of signal-to-interference-plus-noise ratio for the targets. By transforming the formulated optimization problem into a convex problem, the Lagrangian duality theory is utilized to decompose the original problem into two sub-problems. Then, a subgradient projection method and an equivalent receive beamforming optimization method are developed to tackle the two sub-problems, yielding the optimal transmit beamformers for the radars. After obtaining the transmit and receive beamformers iteratively, the game relationship among radars is then formulated as a power control game, and the paper proves the existence and uniqueness of the Nash equilibrium. Furthermore, a centralized beamforming design problem is explored for comparative analysis, where the beamformers of all radars are jointly optimized to suppress power fluctuations among transmit antennas. Simulation results are provided to validate the effectiveness of the proposed schemes.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"459-470"},"PeriodicalIF":4.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308407","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

Systems of Systems Governance Frameworks: A Thorough Scoping Review and Synthesis Towards Enhancing Healthcare Delivery 系统治理框架的系统：全面的范围审查和综合，以加强医疗保健服务

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-12 DOI: 10.1109/JSYST.2025.3545815

Mohamed Mogahed;Mo Mansouri

{"title":"Systems of Systems Governance Frameworks: A Thorough Scoping Review and Synthesis Towards Enhancing Healthcare Delivery","authors":"Mohamed Mogahed;Mo Mansouri","doi":"10.1109/JSYST.2025.3545815","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3545815","url":null,"abstract":"The healthcare delivery system exhibits inherent complexities stemming from its composition of multiple autonomous constituent systems with intricate interdependencies, characterized by dynamic and often decentralized operations. In this context, systems of systems (SoS) governance emerges as a promising paradigm to address these multifaceted challenges and optimize system-wide performance. This article conducts a comprehensive scoping review of SoS governance frameworks, focusing on their applicability to healthcare systems. Through a rigorous review process, 45 studies were selected from three major databases, yielding 37 distinct governance frameworks. The review analyzes publication trends, research objectives, applied frameworks, domains of application, and methodologies, providing a multifaceted understanding of the SoS governance landscape. The study highlights one framework that aligns closely with our proposed construct for healthcare system governance, and the alignment is discussed. In addition, technical components and variations across frameworks are identified and discussed, revealing the complexity and diversity of approaches in SoS governance.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"648-658"},"PeriodicalIF":4.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339020","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 Interval Type-2 Fuzzy Predictive Automatic Generation Control of Multiarea Interconnected Power Systems 多区域互联电力系统鲁棒区间2型模糊预测自动发电控制

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-11 DOI: 10.1109/JSYST.2025.3544320

Reza M. Kia;Mahsan Tavakoli-Kakhki

{"title":"Robust Interval Type-2 Fuzzy Predictive Automatic Generation Control of Multiarea Interconnected Power Systems","authors":"Reza M. Kia;Mahsan Tavakoli-Kakhki","doi":"10.1109/JSYST.2025.3544320","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3544320","url":null,"abstract":"This research investigates a supervisory interval type-2 fuzzy predictive control (SIT2FPC) technique to propose a novel control method for the automatic generation control (AGC) problem in interconnected power systems. The proposed control method comprises two main components: the interval type-2 fuzzy control (IT2FC) technique, employing a proportional integral derivative approach, and a supervisory predictive controller. IT2FC sets are considered for a multiarea interconnected power network, followed by the implementation of a supervisory predictive control method for the entire system. It is demonstrated that the SIT2FPC method effectively addresses the challenges within the overall system. By incorporating a predictive controller as a robust supervisory control technique, the proposed method can effectively handle unexpected problems that may arise within the IT2FC units. In order to evaluate the efficiency and validity of the proposed robust SIT2FPC technique, it is applied to address the AGC problem in a four-area interconnected power grid. Also, the IEEE 39-bus power system is considered as a case study to validate the proposed AGC method. The outcomes of six different simulation scenarios clearly illustrate the effectiveness of the proposed robust control method.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"541-552"},"PeriodicalIF":4.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308381","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 Containment Control for Discrete-Time Nonlinear Multiagent Systems Over Dynamic Topology With System Uncertainties 具有不确定性的动态拓扑上离散非线性多智能体系统的分布式包容控制

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-09 DOI: 10.1109/JSYST.2025.3554233

Changkun Du;Nannan Li;Zhen Li;Samson Shenglong Yu;Chee Peng Lim

{"title":"Distributed Containment Control for Discrete-Time Nonlinear Multiagent Systems Over Dynamic Topology With System Uncertainties","authors":"Changkun Du;Nannan Li;Zhen Li;Samson Shenglong Yu;Chee Peng Lim","doi":"10.1109/JSYST.2025.3554233","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3554233","url":null,"abstract":"This article explores the distributed containment control problem under dynamic directed topologies in discrete-time nonlinear multiagent systems (MASs) subject to parameter uncertainties that are nonlinearly coupled with the agents' states. Specifically, a parameter estimation algorithm is first adopted to deal with the parametric uncertainty. Then, based on the estimated parameters, a distributed adaptive containment control protocol is proposed in a distributed fashion for nonlinear and uncertain MASs over dynamic digraphs. To tackle the challenges caused by the dynamic topology, the evolution of the dynamic topology of MASs is transformed into time-varying Markov chains. By analyzing the characteristics of time-varying Markov chains, the properties of some key matrices related to the dynamic topology are derived, which benefits the convergence analysis of containment control. By applying the proposed control protocol, the reference signals can be tracked by the leaders, while the followers' states are driven into the convex hull formed by leaders. Finally, simulation results and performance analysis are discussed to demonstrate the effectiveness of developed methods.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"483-494"},"PeriodicalIF":4.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308408","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

Probability-Constrained Multisensor Distributed Fusion Filtering for Cyber-Physical Systems 面向信息物理系统的概率约束多传感器分布式融合滤波

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-09 DOI: 10.1109/JSYST.2025.3563693

Yun Chen;Qian Zhang;Xueyang Meng;Yunfei Guo

{"title":"Probability-Constrained Multisensor Distributed Fusion Filtering for Cyber-Physical Systems","authors":"Yun Chen;Qian Zhang;Xueyang Meng;Yunfei Guo","doi":"10.1109/JSYST.2025.3563693","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3563693","url":null,"abstract":"This article makes one of the first few attempts to investigate the multisensor distributed fusion filtering problem for a special type of time-varying nonlinear stochastic cyber-physical systems (CPSs) via encoding–decoding strategy (EDS) within the finite-horizon probability constraint framework. The random EDS is employed to orchestrate the data transmissions between sensors and remote local filters to enhance the resource-utilization efficiency and data security. A novel probability-constrained distributed fusion filtering (DFF) scheme is established such that the prescribed probabilistic ellipsoidal constraints and stochastic <inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula> disturbance attenuation index are satisfied for the resultant local and fusion filtering errors. Sufficient conditions are firstly presented to guarantee the existence of desired local filters by iteratively solving a sequence of matrix inequalities. Subsequently, the derived multisensor distributed fusion filter is designed by means of a certain optimization problem to maximize the ellipsoidal set constraint probability of the fused filtering error. Finally, a numerical example demonstrates the validity of the proposed distributed fusion filtering approach.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"589-599"},"PeriodicalIF":4.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339025","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

Sum Rate Maximization Over Riemannian Manifolds for RIS-Assisted Coexistence of Radar and Communication Systems 雷达与通信系统ris辅助共存的黎曼流形和速率最大化

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-09 DOI: 10.1109/JSYST.2025.3565261

Mohamed Elsayed;Ahmed S. Ibrahim;Mahmoud H. Ismail;Ahmed Samir

{"title":"Sum Rate Maximization Over Riemannian Manifolds for RIS-Assisted Coexistence of Radar and Communication Systems","authors":"Mohamed Elsayed;Ahmed S. Ibrahim;Mahmoud H. Ismail;Ahmed Samir","doi":"10.1109/JSYST.2025.3565261","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3565261","url":null,"abstract":"Radar and communication coexistence (RCC) aims at improving the spectral efficiency of next generation wireless systems. One of the challenges facing RCC, however, is the mutual interference between the two coexisting subsystems. A reconfigurable intelligent surface (RIS) can thus be used to address such a challenge by optimizing its phase shifts along with the beamforming weights at the base station (BS). In this article, we aim to maximize the communication sum rate (SR), while limiting the interference toward the radar to a certain limit. Motivated by the unexplored fact that covariance matrices of RCC signals are Hermitian positive definite (HPD) and hence, can be represented over Riemannian manifolds (i.e., curved surfaces), the RCC SR maximization problem is reformulated as minimization of a Riemannian metric, which is the geodesic distance between the covariance matrices of the radar and the RIS-relayed signals. Such geometric reformulation paves the road for a <italic>low-complexity</i> optimization approach over Riemannian manifolds, which simultaneously optimizes the beamforming weights and phase shifts at the BS and RIS, respectively. Simulation results demonstrate that the proposed solution significantly increases the communication SR, while meeting the constraint on the interference toward radar. Equally important, the proposed optimization approach over Riemannian manifolds exhibits a reduced complexity compared to state-of-the-art algorithms over Euclidean spaces.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"495-506"},"PeriodicalIF":4.0,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308402","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 Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills 用于引导蜂群集体运动技能的双任务深度强化学习和领域转移架构

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-05 DOI: 10.1109/JSYST.2025.3536783

Shadi Abpeikar;Matt Garratt;Sreenatha Anavatti;Reda Ghanem;Kathryn Kasmarik

{"title":"A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills","authors":"Shadi Abpeikar;Matt Garratt;Sreenatha Anavatti;Reda Ghanem;Kathryn Kasmarik","doi":"10.1109/JSYST.2025.3536783","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3536783","url":null,"abstract":"Recent research has shown it is possible for groups of robots to automatically “bootstrap” their own collective motion behaviors, particularly movement in a group. However, existing work has primarily provided proof of concept in regular, open arenas without obstacles. For practical applications on real robots, multiple collective motion skills are required. This article proposes a novel, multitask deep reinforcement learning algorithm and domain transfer architecture permitting multiple collective motion skills to be bootstrapped automatically and applied to real robots. The proposed approach is tested for tuning two collective motion skills for grouped movement and obstacle avoidance, without requiring a map of the environment. We show that our approach can tune obstacle avoidance parameters while maintaining high-quality swarming collective behavior when an obstacle is detected. Furthermore, learned collective motion skills can be transferred from a point mass simulation onto real mobile robots using our domain transfer architecture, without loss of quality. Transferability is comparable to that of an evolutionary algorithm run in a high-fidelity simulator.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"327-338"},"PeriodicalIF":4.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645180","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

Dynamic Event-Triggered Predefined-Time Distributed Optimal Consensus for Multiple Euler–Lagrangian Systems With Unavailable Parameters 具有不可用参数的多euler - lagrange系统的动态事件触发的预定义时间分布最优一致性

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-03-01 DOI: 10.1109/JSYST.2025.3547395

Feisheng Yang;Jiaming Liu;Qian Ma;Xiangpeng Xie

引用次数: 0

Digital Twin Virtual-Real Synchronization for Aeroengine Gas Path System Based on Deep Reinforcement Learning 基于深度强化学习的航空发动机气路系统数字孪生虚实同步

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-02-28 DOI: 10.1109/JSYST.2025.3529705

Changyi Xu;Yuming Huo;Chunkun Shi;Ying Zhao

{"title":"Digital Twin Virtual-Real Synchronization for Aeroengine Gas Path System Based on Deep Reinforcement Learning","authors":"Changyi Xu;Yuming Huo;Chunkun Shi;Ying Zhao","doi":"10.1109/JSYST.2025.3529705","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3529705","url":null,"abstract":"It is crucial to monitor the operational status of aeroengines by using the digital twin technology to realize virtual-real synchronization for the gas path system. The challenge is to accurately monitor deep parameters in real-time during synchronization, although existing digital twin technologies have made good progress in monitoring shallow parameters. This study proposes a virtual-real synchronization method for digital twins of an aeroengine gas path system (AGPS) based on deep reinforcement learning (RL). First, the parameters are divided into directly measurable parameters (DMP) and nondirectly measurable parameters (NDMP). Then, different algorithms are applied to different types of parameters. An unscented Kalman filtering algorithm is utilized to aid in the synchronization of the DMP. An RL approach is employed to train parameter inference models for the NDMP. By combining the two algorithms, synchronization between these two parameter classes is achieved. This method excels by integrating the NDMP into the virtual-real synchronization of the AGPS digital twin, concurrently reducing the inference time for this specific segment. Comparative experiments are conducted, and the results indicate an effective improvement in the accuracy of parameter inference with the proposed method. Simultaneously, it ensures real-time and robust parameter inference.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"75-86"},"PeriodicalIF":4.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637895","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

Coverage Optimization for Reliable UAV-Assisted 5G/6G Communication Systems 可靠的无人机辅助5G/6G通信系统覆盖优化

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-02-26 DOI: 10.1109/JSYST.2025.3532232

Bilel Ben Saoud;Leïla Nasraoui

{"title":"Coverage Optimization for Reliable UAV-Assisted 5G/6G Communication Systems","authors":"Bilel Ben Saoud;Leïla Nasraoui","doi":"10.1109/JSYST.2025.3532232","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3532232","url":null,"abstract":"Unmanned aerial vehicles (UAVs) play a pivotal role in 5G/6G wireless communication systems due to their deployment flexibility. This article explores optimal UAV positioning to maximize coverage in hybrid aerial–ground communication links. Exploiting a probabilistic line-of-sight (LOS) model, we examine coverage radius behavior in mixed urban and suburban environments to meet specific quality-of-service (QoS) targets. The analysis reveals that the coverage radius expands as the probability of LOS increases, which in turn increases with the UAV height. However, beyond a certain height, path loss becomes dominant, and further increases in altitude negatively impact the coverage radius. By studying the maximum coverage radius for minimum signal strength and spectral efficiency requirements, we numerically determine a configuration space of UAV altitudes and the corresponding maximum radius that satisfies the target QoS. The results illustrate a dual-regime behavior, where coverage increases with altitude up to a certain value, beyond which it declines, indicating the existence of an optimal altitude for reliability. In addition, the analysis of ground surface effects shows that flying over concrete surfaces significantly enhances coverage, offering a radius up to five times larger compared to rough, vegetated surfaces.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"65-74"},"PeriodicalIF":4.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637915","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