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作为系统科学与控制工程领域的领衔期刊,International Journal of Systems Science长期聚焦智能、自主与复杂系统的前沿方法论与实践,Systems Science and Control Engineering则以开放获取模式致力于推动系统科学跨学科协作与快速传播。本期,我们特别邀请两刊主编王子栋教授,从2025年1月以来发表的论文中甄选出一组值得关注的研究,优先纳入综述与调查类文章,以及具有广泛方法论价值或明确实践意义的研究论文,并分享主编推荐语,解读这些研究的亮点与价值。
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主编介绍王子栋

英国伦敦布鲁奈尔大学(Brunel University London)动力学系统与计算学教授、欧洲科学院院士、欧洲科学与艺术院院士、IEEE Fellow。
多年来从事智能数据分析(深度学习、 演化计算、 生物信息学)、控制理论(随机控制,鲁棒控制,非线性控制,模型简化)、信号处理等方面的研究。2012年被汤森路透遴选为大数据分析方向的“最热门科学家”,连续多年被科睿唯安遴选为计算机科学与工程学两个领域的高被引科学家,在英国科学家的h指数(现为160)中排名电子电气工程方向第一。
👉欢迎阅读【走进编辑部】栏目访谈王子栋教授,关于分享系统科学前沿趋势与高质量论文发表建议。
Part.1
关于期刊
International Journal of Systems Science
IF: 4.3 Q1
CiteScore: 8.1 Q1
Acceptance Rate: 20%
发表关于系统层面智能、自主性和复杂性等主题的研究成果。
期刊精选文章对具有未知控制方向的多智能体系统分布式控制的综述:从Nussbaum函数的角度出发
2026; Review article;
DOI: 10.1080/00207721.2026.2649348
主编推荐语:
This review gives a clear account of distributed control for multi-agent systems when the control directions are unknown. It traces the development of Nussbaum-function methods across several classes of agent dynamics and provides a useful starting point for researchers entering this area.
工业物联网中用于态势感知的主控制器建模:人工智能领域的最新趋势与机遇
2025; Review article;
DOI: 10.1080/00207721.2025.2559134
主编推荐语:
The paper brings together situation awareness, controller modelling and industrial Internet of Things applications. Its discussion of model predictive control, artificial intelligence and remaining research gaps should interest both control researchers and industrial practitioners.
2025; Research article;
DOI: 10.1080/00207721.2025.2466806
主编推荐语:
This paper introduces constrained unidirectionally connected fully actuated systems as a class of interconnected systems that cannot generally be reduced to a single fully actuated system. It lays the modelling foundation for the analysis and design developed in the two companion papers.
2025; Research article;
DOI: 10.1080/00207721.2025.2467223
主编推荐语:
The second paper develops a systematic sub-stabilisation method for the system class introduced in Part I. The treatment of state and control constraints gives the work clear theoretical value and extends the scope of the fully actuated system approach.
2025; Research article;
DOI: 10.1080/00207721.2025.2467221
主编推荐语:
The final paper applies the preceding modelling and stabilisation results to representative nonlinear control problems, including manoeuvred moving objects. The three papers together form a coherent account from model formulation to control design and application.
2025; Research article;
DOI: 10.1080/00207721.2025.2520353
主编推荐语:
The study combines continuous modelling of metabolic-regulatory networks with sparse system identification. It is a good example of systems science being used to obtain interpretable models from biological data, and the accompanying implementation material supports further use of the method.
2026; Research article;
DOI: 10.1080/00207721.2026.2628900
主编推荐语:
This work addresses practical difficulties in equation discovery by combining informative sampling, a differentiable surrogate model and sparse regression. The approach is relevant to system identification and scientific machine learning, particularly when measurements are limited or noisy.
针对执行监控与覆盖任务的自动驾驶车辆,基于特殊约束的启发式路由算法可信度分析
2025; Research article;
DOI: 10.1080/00207721.2025.2455998
主编推荐语:
The article considers not only routing performance but also the trustworthiness of the resulting decisions. Its emphasis on a transparent heuristic method is useful for autonomous-vehicle applications in which reliability and ease of verification are important.
Part.2
关于期刊
Systems Science and Control Engineering

IF: 5.6 Q1
CiteScore: 7.8 Q1
Acceptance Rate: 28%
发表关于人工智能、控制理论及其应用、控制论和系统理论等领域的科研成果。
期刊精选文章2025; Survey article;
DOI: 10.1080/21642583.2025.2474471
主编推荐语:
This survey provides a focused account of state-estimation methods designed to cope with outliers. The organisation of the existing results, together with the discussion of applications and open problems, makes it a valuable reference for work on resilient sensing and networked estimation.
2025; Research article;
DOI: 10.1080/21642583.2025.2518963
主编推荐语:
The paper deals with three practical difficulties in intrusion detection: limited labelled data, distributed datasets and privacy constraints. The combination of contrastive learning, semi-supervised training and knowledge distillation is relevant to secure Internet of Things and cyber-physical systems.
DMC-YOLOv11:基于YOLOv11的改进型路面损坏检测模型
2025; Research article;
DOI: 10.1080/21642583.2025.2579987
主编推荐语:
This article develops a current object-detection model for identifying pavement damage, including small and difficult defects. The work has direct relevance to automated road inspection and illustrates how computer-vision methods can be adapted to a specific infrastructure-monitoring problem.
基于交通感知自适应巡航控制的轨迹平滑技术在实际场景中的部署,用于自动调节车速
2025; Research article;
DOI: 10.1080/21642583.2025.2567878
主编推荐语:
The main strength of this paper is its attention to real-world deployment. By using downstream traffic information to smooth vehicle trajectories, the study connects cooperative traffic data with adaptive cruise control, ride comfort and energy efficiency.
在确定的新能源渗透率下,考虑不同并网方式和频率调节参与程度时,电力系统的频率特性分析
2025; Research article;
DOI: 10.1080/21642583.2025.2486115
主编推荐语:
The paper studies power-system frequency behaviour under increasing renewable-energy penetration while accounting for start-up methods and participation in frequency regulation. It addresses an important system-level question arising from the transition to low-carbon power generation.
2026; Research article;
DOI: 10.1080/21642583.2026.2634459
主编推荐语:
This study uses a digital twin for real-time parameter estimation in a wheeled mobile robot. The close connection between the physical system, online estimation and the digital model makes the paper relevant to robotics, adaptive control and condition monitoring.
2026; Review article;
DOI: 10.1080/21642583.2026.2709992
主编推荐语:
The paper reviews cybersecurity issues affecting unmanned aerial vehicles and treats resilience as a combination of protection, detection, response and recovery. This broader perspective is well suited to dependable autonomous systems and should be useful to readers from both control and cybersecurity communities.
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