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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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    Sustainable Mining in the Era of Artificial Intelligence

    Long ChenYuting XieYutong WangShirong Ge...
    1-4页
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    A Tutorial on Quantized Feedback Control

    Minyue Fu
    5-17页
    查看更多>>摘要：In this tutorial paper,we explore the field of quan-tized feedback control,which has gained significant attention due to the growing prevalence of networked control systems.These systems require the transmission of feedback information,such as measurements and control signals,over digital networks,pre-senting novel challenges in estimation and control design.Our examination encompasses various topics,including the minimal information needed for effective feedback control,the design of quantizers,strategies for quantized control design and estimation,achieving consensus control with quantized data,and the pursuit of high-precision tracking using quantized measurements.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

    Ding WangNing GaoDerong LiuJinna Li...
    18-36页
    查看更多>>摘要：Reinforcement learning(RL)has roots in dynamic programming and it is called adaptive/approximate dynamic pro-gramming(ADP)within the control community.This paper reviews recent developments in ADP along with RL and its appli-cations to various advanced control fields.First,the background of the development of ADP is described,emphasizing the signifi-cance of regulation and tracking control problems.Some effec-tive offline and online algorithms for ADP/adaptive critic control are displayed,where the main results towards discrete-time sys-tems and continuous-time systems are surveyed,respectively.Then,the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed,respectively,where event-based design,robust stabi-lization,and game design are reviewed.Moreover,the extensions of ADP for addressing control problems under complex environ-ment attract enormous attention.The ADP architecture is revis-ited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation significantly.Finally,several typical control applications with respect to RL and ADP are summarized,particularly in the fields of wastewa-ter treatment processes and power systems,followed by some general prospects for future research.Overall,the comprehensive survey on ADP and RL for advanced control applications has demonstrated its remarkable potential within the artificial intelli-gence era.In addition,it also plays a vital role in promoting envi-ronmental protection and industrial intelligence.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Orientation and Decision-Making for Soccer Based on Sports Analytics and AI:A Systematic Review

    Zhiqiang PuYi PanShijie WangBoyin Liu...
    37-57页
    查看更多>>摘要：Due to ever-growing soccer data collection approa-ches and progressing artificial intelligence(AI)methods,soccer analysis,evaluation,and decision-making have received increas-ing interest from not only the professional sports analytics realm but also the academic AI research community.AI brings game-changing approaches for soccer analytics where soccer has been a typical benchmark for AI research.The combination has been an emerging topic.In this paper,soccer match analytics are taken as a complete observation-orientation-decision-action(OODA)loop.In addition,as in Al frameworks such as that for reinforcement learning,interacting with a virtual environment enables an evolv-ing model.Therefore,both soccer analytics in the real world and virtual domains are discussed.With the intersection of the OODA loop and the real-virtual domains,available soccer data,includ-ing event and tracking data,and diverse orientation and decision-making models for both real-world and virtual soccer matches are comprehensively reviewed.Finally,some promising direc-tions in this interdisciplinary area are pointed out.It is claimed that paradigms for both professional sports analytics and Al research could be combined.Moreover,it is quite promising to bridge the gap between the real and virtual domains for soccer match analysis and decision-making.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

    Qingsong ZhaoLei ShuKailiang LiMohamed Amine Ferrag...
    58-73页
    查看更多>>摘要：Solar insecticidal lamps(SIL)can effectively control pests and reduce the use of pesticides.Combining SIL and Inter-net of Things(IoT)has formed a new type of agricultural IoT,known as SIL-IoT,which can improve the effectiveness of migra-tory phototropic pest control.However,since the SIL is con-nected to the Internet,it is vulnerable to various security issues.These issues can lead to serious consequences,such as tampering with the parameters of SIL,illegally starting and stopping SIL,etc.In this paper,we describe the overall security requirements of SIL-IoT and present an extensive survey of security and privacy solutions for SIL-IoT.We investigate the background and logical architecture of SIL-IoT,discuss SIL-IoT security scenarios,and analyze potential attacks.Starting from the security require-ments of SIL-IoT we divide them into six categories,namely pri-vacy,authentication,confidentiality,access control,availability,and integrity.Next,we describe the SIL-IoT privacy and security solutions,as well as the blockchain-based solutions.Based on the current survey,we finally discuss the challenges and future research directions of SIL-IoT.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

    Bogang QuZidong WangBo ShenHongli Dong...
    74-87页
    查看更多>>摘要：This paper investigates the anomaly-resistant decen-tralized state estimation(SE)problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines.Two classes of mea-surements(i.e.,local measurements and edge measurements)are obtained,respectively,from the individual area and the transmis-sion lines.A decentralized state estimator,whose performance is resistant against measurement with anomalies,is designed based on the minimum error entropy with fiducial points(MEEF)cri-terion.Specifically,1)An augmented model,which incorporates the local prediction and local measurement,is developed by resorting to the unscented transformation approach and the sta-tistical linearization approach;2)Using the augmented model,an MEEF-based cost function is designed that reflects the local pre-diction errors of the state and the measurement;and 3)The local estimate is first obtained by minimizing the MEEF-based cost function through a fixed-point iteration and then updated by using the edge measuring information.Finally,simulation experi-ments with three scenarios are carried out on the IEEE 14-bus system to illustrate the validity of the proposed anomaly-resistant decentralized SE scheme.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

    Changbing TangBaosen YangXiaodong XieGuanrong Chen...
    88-102页
    查看更多>>摘要：As a representative emerging machine learning tech-nique,federated learning(FL)has gained considerable popular-ity for its special feature of"making data available but not visi-ble".However,potential problems remain,including privacy breaches,imbalances in payment,and inequitable distribution.These shortcomings let devices reluctantly contribute relevant data to,or even refuse to participate in FL.Therefore,in the application of FL,an important but also challenging issue is to motivate as many participants as possible to provide high-quality data to FL.In this paper,we propose an incentive mechanism for FL based on the continuous zero-determinant(CZD)strategies from the perspective of game theory.We first model the interac-tion between the server and the devices during the FL process as a continuous iterative game.We then apply the CZD strategies for two players and then multiple players to optimize the social welfare of FL,for which we prove that the server can keep social welfare at a high and stable level.Subsequently,we design an incentive mechanism based on the CZD strategies to attract devices to contribute all of their high-accuracy data to FL.Finally,we perform simulations to demonstrate that our pro-posed CZD-based incentive mechanism can indeed generate high and stable social welfare in FL.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Distributed Nash Equilibrium Seeking Strategies Under Quantized Communication

    Maojiao YeQing-Long HanLei DingShengyuan Xu...
    103-112页
    查看更多>>摘要：This paper is concerned with distributed Nash equi-librium seeking strategies under quantized communication.In the proposed seeking strategy,a projection operator is synthesized with a gradient search method to achieve the optimization of players'objective functions while restricting their actions within required non-empty,convex and compact domains.In addition,a leader-following consensus protocol,in which quantized informa-tion flows are utilized,is employed for information sharing among players.More specifically,logarithmic quantizers and uniform quantizers are investigated under both undirected and connected communication graphs and strongly connected digraphs,respec-tively.Through Lyapunov stability analysis,it is shown that play-ers'actions can be steered to a neighborhood of the Nash equilib-rium with logarithmic and uniform quantizers,and the quanti-fied convergence error depends on the parameter of the quan-tizer for both undirected and directed cases.A numerical exam-ple is given to verify the theoretical results.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Feature Matching via Topology-A ware Graph Interaction Model

    Yifan LuJiayi MaXiaoguang MeiJun Huang...
    113-130页
    查看更多>>摘要：Feature matching plays a key role in computer vision.However,due to the limitations of the descriptors,the putative matches are inevitably contaminated by massive outliers.This paper attempts to tackle the outlier filtering problem from two aspects.First,a robust and efficient graph interaction model,is proposed,with the assumption that matches are correlated with each other rather than independently distributed.To this end,we construct a graph based on the local relationships of matches and formulate the outlier filtering task as a binary labeling energy minimization problem,where the pairwise term encodes the interaction between matches.We further show that this formula-tion can be solved globally by graph cut algorithm.Our new for-mulation always improves the performance of previous locality-based method without noticeable deterioration in processing time,adding a few milliseconds.Second,to construct a better graph structure,a robust and geometrically meaningful topology-aware relationship is developed to capture the topology relationship between matches.The two components in sum lead to topology interaction matching(TIM),an effective and efficient method for outlier filtering.Extensive experiments on several large and diverse datasets for multiple vision tasks including general fea-ture matching,as well as relative pose estimation,homography and fundamental matrix estimation,loop-closure detection,and multi-modal image matching,demonstrate that our TIM is more competitive than current state-of-the-art methods,in terms of generality,efficiency,and effectiveness.The source code is pub-licly available at http://github.com/YifanLu2000/TIM.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming

    Zhongyang WangYouqing WangZdzis?aw Kowalczuk
    131-140页
    查看更多>>摘要：In order to address the output feedback issue for lin-ear discrete-time systems,this work suggests a brand-new adap-tive dynamic programming(ADP)technique based on the inter-nal model principle(IMP).The proposed method,termed as IMP-ADP,does not require complete state feedback-merely the measurement of input and output data.More specifically,based on the IMP,the output control problem can first be converted into a stabilization problem.We then design an observer to reproduce the full state of the system by measuring the inputs and outputs.Moreover,this technique includes both a policy iteration algorithm and a value iteration algorithm to determine the opti-mal feedback gain without using a dynamic system model.It is important that with this concept one does not need to solve the regulator equation.Finally,this control method was tested on an inverter system of grid-connected LCLs to demonstrate that the proposed method provides the desired performance in terms of both tracking and disturbance rejection.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普