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自动化学报（英文版）
中国自动化学会、中国科学院自动化研究所、中国科技出版传媒股份有限公司
自动化学报（英文版）

中国自动化学会、中国科学院自动化研究所、中国科技出版传媒股份有限公司

双月刊

2329-9266

yan.ou@ia.ac.cn

010-82544459

自动化学报（英文版）/Journal IEEE/CAA Journal of Automatica SinicaCSCDCSTPCD北大核心SCI
查看更多>>《自动化学报》（英文版），刊名为 IEEE/CAA Journal of Automatica Sinica (JAS)，创刊于2014年，由中国自动化学会、中国科学院自动化研究所主办，与IEEE合作，报道自动控制、人工智能、机器人等领域热点和前沿方向的研究成果。JAS被SCI, EI, Scopus等数据库收录，是ESI刊源期刊，也是自动化与控制系统领域唯一的中国主办Q1区SCI期刊。2019年首个JCR影响因子5.129，在自动化与控制领域全球63种SCI期刊中排名第11（前17%），位列Q1区。2019年CiteScore为8.3，位于所属各领域Q1区前列；国内外综合他引影响因子为6.688，在自动化、计算机领域的中国英文期刊中排名第1。
正式出版
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    Social Radars:Finding Targets in Cyberspace for Cybersecurity

    Lili FanChangxian ZengYutong WangJiaqi Ma...
    279-282页
      原文链接:
    • 万方数据

    Reinforcement Learning in Process Industries:Review and Perspective

    Oguzhan DogruJunyao XieOm PrakashRanjith Chiplunkar...
    283-300页
    查看更多>>摘要：This survey paper provides a review and perspec-tive on intermediate and advanced reinforcement learning(RL)techniques in process industries.It offers a holistic approach by covering all levels of the process control hierarchy.The survey paper presents a comprehensive overview of RL algorithms,including fundamental concepts like Markov decision processes and different approaches to RL,such as value-based,policy-based,and actor-critic methods,while also discussing the rela-tionship between classical control and RL.It further reviews the wide-ranging applications of RL in process industries,such as soft sensors,low-level control,high-level control,distributed process control,fault detection and fault tolerant control,optimization,planning,scheduling,and supply chain.The survey paper dis-cusses the limitations and advantages,trends and new applica-tions,and opportunities and future prospects for RL in process industries.Moreover,it highlights the need for a holistic approach in complex systems due to the growing importance of digitaliza-tion in the process industries.
      原文链接:
    • 万方数据
    • 维普

    Advancements in Humanoid Robots:A Compre-hensive Review and Future Prospects

    Yuchuang TongHaotian LiuZhengtao Zhang
    301-328页
    查看更多>>摘要：This paper provides a comprehensive review of the current status,advancements,and future prospects of humanoid robots,highlighting their significance in driving the evolution of next-generation industries.By analyzing various research en-deavors and key technologies,encompassing ontology structure,control and decision-making,and perception and interaction,a holistic overview of the current state of humanoid robot research is presented.Furthermore,emerging challenges in the field are identified,emphasizing the necessity for a deeper understanding of biological motion mechanisms,improved structural design,enhanced material applications,advanced drive and control methods,and efficient energy utilization.The integration of bion-ics,brain-inspired intelligence,mechanics,and control is under-scored as a promising direction for the development of advanced humanoid robotic systems.This paper serves as an invaluable resource,offering insightful guidance to researchers in the field,while contributing to the ongoing evolution and potential of humanoid robots across diverse domains.
      原文链接:
    • 万方数据

    Virtual Power Plants for Grid Resilience:A Concise Overview of Research and Applications

    Yijing XieYichen ZhangWei-Jen LeeZongli Lin...
    329-343页
    查看更多>>摘要：The power grid is undergoing a transformation from synchronous generators(SGs)toward inverter-based resources(IBRs).The stochasticity,asynchronicity,and limited-inertia char-acteristics of IBRs bring about challenges to grid resilience.Vir-tual power plants(VPPs)are emerging technologies to improve the grid resilience and advance the transformation.By judi-ciously aggregating geographically distributed energy resources(DERs)as individual electrical entities,VPPs can provide capac-ity and ancillary services to grid operations and participate in electricity wholesale markets.This paper aims to provide a con-cise overview of the concept and development of VPPs and the latest progresses in VPP operation,with the focus on VPP scheduling and control.Based on this overview,we identify a few potential challenges in VPP operation and discuss the opportuni-ties of integrating the multi-agent system(MAS)-based strategy into the VPP operation to enhance its scalability,performance and resilience.
      原文链接:
    • 万方数据

    Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

    Yunfeng HuChong ZhangBo WangJing Zhao...
    344-361页
    查看更多>>摘要：Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO)repetitive systems subjected to separable and nonseparable disturbances,a novel data-driven iterative learning control(ILC)scheme based on the zeroing neural networks(ZNNs)is proposed.First,the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology,which exists theoretically in the iteration domain.Then,the iterative extended state observer(IESO)is developed to estimate the disturbance and the coupling between systems,and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis.To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed.The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method.In addition,theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem.Finally,a generalized example and an application-oriented example are presented to verify the effec-tiveness and superiority of the proposed process.
      原文链接:
    • 万方数据
    • 维普

    Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

    Xiaohua GeQing-Long HanXian-Ming ZhangDerui Ding...
    362-376页
    查看更多>>摘要：Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads.However,a critical challenge in accomplish-ing automated vehicle platoons is to deal with the effects of inter-mittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources.This paper addresses the co-design problem of dynamic event-triggered com-munication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies.The central aim is to achieve automated vehicle platooning under var-ious gap references with desired platoon stability and spacing performance requirements,while simultaneously improving com-munication efficiency.Toward this aim,a dynamic event-trig-gered scheduling mechanism is developed such that the inter-vehicle data transmissions are scheduled dynamically and effi-ciently over time.Then,a tractable co-design criterion on the existence of both the admissible event-driven cooperative adap-tive cruise control law and the desired scheduling mechanism is derived.Finally,comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results.
      原文链接:
    • 万方数据
    • 维普

    A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection

    Honghao ZhuMengChu ZhouYu XieAiiad Albeshri...
    377-390页
    查看更多>>摘要：A dandelion algorithm(DA)is a recently developed intelligent optimization algorithm for function optimization prob-lems.Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems.A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure.Only the normal sowing operator is retained;while the other operators are discarded.An adaptive seeding radius strat-egy is designed for the core dandelion.The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers.In addition,the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD),and the results indicate that it can obtain higher classification and detection per-formance than the-state-of-the-art methods.
      原文链接:
    • 万方数据
    • 维普

    PAPS:Progressive Attention-Based Pan-sharpening

    Yanan JiaQiming HuRenwei DianJiayi Ma...
    391-404页
    查看更多>>摘要：Pan-sharpening aims to seek high-resolution multi-spectral(HRMS)images from paired multispectral images of low resolution(LRMS)and panchromatic(PAN)images,the key to which is how to maximally integrate spatial and spectral infor-mation from PAN and LRMS images.Following the principle of gradual advance,this paper designs a novel network that con-tains two main logical functions,i.e.,detail enhancement and pro-gressive fusion,to solve the problem.More specifically,the detail enhancement module attempts to produce enhanced MS results with the same spatial sizes as corresponding PAN images,which are of higher quality than directly up-sampling LRMS images.Having a better MS base(enhanced MS)and its PAN,we pro-gressively extract information from the PAN and enhanced MS images,expecting to capture pivotal and complementary infor-mation of the two modalities for the purpose of constructing the desired HRMS.Extensive experiments together with ablation studies on widely-used datasets are provided to verify the efficacy of our design,and demonstrate its superiority over other state-of-the-art methods both quantitatively and qualitatively.Our code has been released at https://github.com/JiaYN1/PAPS.
      原文链接:
    • 万方数据

    Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach

    Yi YuGuo-Ping LiuYi HuangPeng Shi...
    405-417页
    查看更多>>摘要：DC-DC converter-based multi-bus DC microgrids(MGs)in series have received much attention,where the conflict between voltage recovery and current balancing has been a hot topic.The lack of models that accurately portray the electrical characteristics of actual MGs while is controller design-friendly has kept the issue active.To this end,this paper establishes a large-signal model containing the comprehensive dynamical behavior of the DC MGs based on the theory of high-order fully actuated systems,and proposes distributed optimal control based on this.The proposed secondary control method can achieve the two goals of voltage recovery and current sharing for multi-bus DC MGs.Additionally,the simple structure of the proposed approach is similar to one based on droop control,which allows this control technique to be easily implemented in a variety of modern microgrids with different configurations.In contrast to existing studies,the process of controller design in this paper is closely tied to the actual dynamics of the MGs.It is a prominent feature that enables engineers to customize the performance met-rics of the system.In addition,the analysis of the stability of the closed-loop DC microgrid system,as well as the optimality and consensus of current sharing are given.Finally,a scaled-down solar and battery-based microgrid prototype with maximum power point tracking controller is developed in the laboratory to experimentally test the efficacy of the proposed control method.
      原文链接:
    • 万方数据
    • 维普

    Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems:Current Feedback Based Iterative Learning Approach

    Yanzheng ZhuNuo XuFen WuXinkai Chen...
    418-429页
    查看更多>>摘要：In this paper,the issues of stochastic stability analy-sis and fault estimation are investigated for a class of continuous-time Markov jump piecewise-affine(PWA)systems against actu-ator and sensor faults.Firstly,a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults,simultaneously,which con-tains both the previous iteration information and the current feedback mechanism.The auxiliary feedback channel optimizes the response speed of the observer,therefore the estimation error would converge to zero rapidly.Then,sufficient conditions for stochastic stability with guaranteed H∞ performance are demon-strated for the estimation error system,and the equivalence rela-tions between the system information and the estimated informa-tion can be established via iterative accumulating representation.Finally,two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effec-tiveness and superiority of the proposed iterative learning observer with current feedback.
      原文链接:
    • 万方数据