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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。
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    Intuitive Human-Robot-Environment Interaction With EMG Signals:A Review

    Dezhen XiongDaohui ZhangYaqi ChuYiwen Zhao...
    1075-1091页
    查看更多>>摘要：A long history has passed since electromyography(EMG)signals have been explored in human-centered robots for intuitive interaction.However,it still has a gap between scientific research and real-life applications.Previous studies mainly focused on EMG decoding algorithms,leaving a dynamic rela-tionship between the human,robot,and uncertain environment in real-life scenarios seldomly concerned.To fill this gap,this paper presents a comprehensive review of EMG-based techniques in human-robot-environment interaction(HREI)systems.The gen-eral processing framework is summarized,and three interaction paradigms,including direct control,sensory feedback,and par-tial autonomous control,are introduced.EMG-based intention decoding is treated as a module of the proposed paradigms.Five key issues involving precision,stability,user attention,compli-ance,and environmental awareness in this field are discussed.Several important directions,including EMG decomposition,robust algorithms,HREI dataset,proprioception feedback,rein-forcement learning,and embodied intelligence,are proposed to pave the way for future research.To the best of what we know,this is the first time that a review of EMG-based methods in the HREI system is summarized.It provides a novel and broader perspective to improve the practicability of current myoelectric interaction systems,in which factors in human-robot interaction,robot-environment interaction,and state perception by human sensations are considered,which has never been done by previ-ous studies.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A Survey

    MengChu ZhouMeiji CuiDian XuShuwei Zhu...
    1092-1105页
    查看更多>>摘要：Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization problems.The past decade has also witnessed their fast progress to solve a class of challenging optimization problems called high-dimensional expensive prob-lems(HEPs).The evaluation of their objective fitness requires expensive resource due to their use of time-consuming physical experiments or computer simulations.Moreover,it is hard to tra-verse the huge search space within reasonable resource as prob-lem dimension increases.Traditional evolutionary algorithms(EAs)tend to fail to solve HEPs competently because they need to conduct many such expensive evaluations before achieving satis-factory results.To reduce such evaluations,many novel surro-gate-assisted algorithms emerge to cope with HEPs in recent years.Yet there lacks a thorough review of the state of the art in this specific and important area.This paper provides a compre-hensive survey of these evolutionary algorithms for HEPs.We start with a brief introduction to the research status and the basic concepts of HEPs.Then,we present surrogate-assisted evolution-ary algorithms for HEPs from four main aspects.We also give comparative results of some representative algorithms and appli-cation examples.Finally,we indicate open challenges and several promising directions to advance the progress in evolutionary opti-mization algorithms for HEPs.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview

    Wenqi RenYang TangQiyu SunChaoqiang Zhao...
    1106-1126页
    查看更多>>摘要：Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block,and it plays a crucial role in environmental perception.Conventional learning-based visual semantic segmentation approaches count heavily on large-scale training data with dense annotations and consistently fail to estimate accurate semantic labels for unseen categories.This obstruction spurs a craze for studying visual semantic segmenta-tion with the assistance of few/zero-shot learning.The emergence and rapid progress of few/zero-shot visual semantic segmentation make it possible to learn unseen categories from a few labeled or even zero-labeled samples,which advances the extension to prac-tical applications.Therefore,this paper focuses on the recently published few/zero-shot visual semantic segmentation methods varying from 2D to 3D space and explores the commonalities and discrepancies of technical settlements under different segmenta-tion circumstances.Specifically,the preliminaries on few/zero-shot visual semantic segmentation,including the problem defini-tions,typical datasets,and technical remedies,are briefly reviewed and discussed.Moreover,three typical instantiations are involved to uncover the interactions of few/zero-shot learning with visual semantic segmentation,including image semantic segmen-tation,video object segmentation,and 3D segmentation.Finally,the future challenges of few/zero-shot visual semantic segmenta-tion are discussed.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements

    Shaoying WangZidong WangHongli DongYun Chen...
    1127-1138页
    查看更多>>摘要：This paper focuses on the quadratic nonfragile fil-tering problem for linear non-Gaussian systems under multi-plicative noises,multiple missing measurements as well as the dynamic event-triggered transmission scheme.The multiple miss-ing measurements are characterized through random variables that obey some given probability distributions,and thresholds of the dynamic event-triggered scheme can be adjusted dynamically via an auxiliary variable.Our attention is concentrated on designing a dynamic event-triggered quadratic nonfragile filter in the well-known minimum-variance sense.To this end,the origi-nal system is first augmented by stacking its state/measurement vectors together with second-order Kronecker powers,thus the original design issue is reformulated as that of the augmented sys-tem.Subsequently,we analyze statistical properties of augmented noises as well as high-order moments of certain random parame-ters.With the aid of two well-defined matrix difference equations,we not only obtain upper bounds on filtering error covariances,but also minimize those bounds via carefully designing gain parameters.Finally,an example is presented to explain the effec-tiveness of this newly established quadratic filtering algorithm.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    MAUN:Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction

    Qian HuJiayi MaYuan GaoJunjun Jiang...
    1139-1150页
    查看更多>>摘要：Spectral compressive imaging has emerged as a powerful technique to collect the 3D spectral information as 2D measurements.The algorithm for restoring the original 3D hyperspectral images(HSIs)from compressive measurements is pivotal in the imaging process.Early approaches painstakingly designed networks to directly map compressive measurements to HSIs,resulting in the lack of interpretability without ex-ploiting the imaging priors.While some recent works have introduced the deep unfolding framework for explainable recon-struction,the performance of these methods is still limited by the weak information transmission between iterative stages.In this paper,we propose a Memory-Augmented deep Unfolding Network,termed MAUN,for explainable and accurate HSI reconstruction.Specifically,MAUN implements a novel CNN scheme to facilitate a better extrapolation step of the fast iterative shrinkage-thresholding algorithm,introducing an extra momentum incorporation step for each iteration to alleviate the information loss.Moreover,to exploit the high correlation of intermediate images from neighboring iterations,we customize a cross-stage transformer(CSFormer)as the deep denoiser to simultaneously capture self-similarity from both in-stage and cross-stage features,which is the first attempt to model the long-distance dependencies between iteration stages.Extensive experiments demonstrate that the proposed MAUN is superior to other state-of-the-art methods both visually and metrically.Our code is publicly available at https://github.com/HuQ1an/MAUN.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing

    Yang YuanHaibin DuanZhigang Zeng
    1151-1162页
    查看更多>>摘要：The shipboard landing problem for a quadrotor is addressed in this paper,where the ship trajectory tracking con-trol issue is transformed into a stabilization control issue by building a relative position model.To guarantee both transient performance and steady-state landing error,a prescribed perfor-mance evolution control(PPEC)method is developed for the rel-ative position control.In addition,a novel compensation system is proposed to expand the performance boundaries when the input saturation occurs and the error exceeds the predefined threshold.Considering the wind and wave on the relative position model,an adaptive sliding mode observer(ASMO)is designed for the dis-turbance with unknown upper bound.Based on the dynamic sur-face control framework,a shipboard landing controller integrat-ing PPEC and ASMO is established for the quadrotor,and the relative position control error is guaranteed to be uniformly ulti-mately bounded.Simulation results have verified the feasibility and effectiveness of the proposed shipboard landing control scheme.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Nested Saturated Control of Uncertain Complex Cascade Systems Using Mixed Saturation Levels

    Meng LiZhigang Zeng
    1163-1174页
    查看更多>>摘要：This study addresses the problem of global asymp-totic stability for uncertain complex cascade systems composed of multiple integrator systems and non-strict feedforward nonlinear systems.To tackle the complexity inherent in such structures,a novel nested saturated control design is proposed that incorpo-rates both constant saturation levels and state-dependent satura-tion levels.Specifically,a modified differentiable saturation func-tion is proposed to facilitate the saturation reduction analysis of the uncertain complex cascade systems under the presence of mixed saturation levels.In addition,the design of modified differ-entiable saturation function will help to construct a hierarchical global convergence strategy to improve the robustness of control design scheme.Through calculation of relevant inequalities,time derivative of boundary surface and simple Lyapunov function,saturation reduction analysis and convergence analysis are car-ried out,and then a set of explicit parameter conditions are pro-vided to ensure global asymptotic stability in the closed-loop sys-tems.Finally,a simplified system of the mechanical model is pre-sented to validate the effectiveness of the proposed method.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Computational Experiments for Complex Social Systems:Integrated Design of Experiment System

    Xiao XueXiangning YuDeyu ZhouXiao Wang...
    1175-1189页
    查看更多>>摘要：Powered by advanced information industry and intelligent technology,more and more complex systems are exhibiting characteristics of the cyber-physical-social systems(CPSS).And human factors have become crucial in the opera-tions of complex social systems.Traditional mechanical analysis and social simulations alone are powerless for analyzing complex social systems.Against this backdrop,computational experiments have emerged as a new method for quantitative analysis of com-plex social systems by combining social simulation(e.g.,ABM),complexity science,and domain knowledge.However,in the pro-cess of applying computational experiments,the construction of experiment system not only considers a large number of artificial society models,but also involves a large amount of data and knowledge.As a result,how to integrate various data,model and knowledge to achieve a running experiment system has become a key challenge.This paper proposes an integrated design frame-work of computational experiment system,which is composed of four parts:generation of digital subject,generation of digital object,design of operation engine,and construction of experi-ment system.Finally,this paper outlines a typical case study of coal mine emergency management to verify the validity of the proposed framework.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Event-Triggered Bipartite Consensus Tracking and Vibration Control of Flexible Timoshenko Mani-pulators Under Time-Varying Actuator Faults

    Xiangqian YaoHao SunZhijia ZhaoYu Liu...
    1190-1201页
    查看更多>>摘要：For bipartite angle consensus tracking and vibration suppression of multiple Timoshenko manipulator systems with time-varying actuator faults,parameter and modeling uncertain-ties,and unknown disturbances,a novel distributed boundary event-triggered control strategy is proposed in this work.In con-trast to the earlier findings,time-varying consensus tracking and actuator defects are taken into account simultaneously.In addi-tion,the constructed event-triggered control mechanism can achieve a more flexible design because it is not required to satisfy the input-to-state condition.To achieve the control objectives,some new integral control variables are given by using back-step-ping technique and boundary control.Moreover,adaptive neural networks are applied to estimate system uncertainties.With the proposed event-triggered scheme,control inputs can reduce unnecessary updates.Besides,tracking errors and vibration states of the closed-looped network can be exponentially convergent into some small fields,and Zeno behaviors can be excluded.At last,some simulation examples are given to state the effectiveness of the control algorithms.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据

    Recursive Filtering for Stochastic Systems With Filter-and-Forward Successive Relays

    Hailong TanBo ShenQi LiHongjian Liu...
    1202-1212页
    查看更多>>摘要：In this paper,the recursive filtering problem is con-sidered for stochastic systems over filter-and-forward successive relay(FFSR)networks.An FFSR is located between the sensor and the remote filter to forward the measurement.In the succes-sive relay,two cooperative relay nodes are adopted to forward the signals alternatively,thereby existing switching characteristics and inter-relay interferences(IRI).Since the filter-and-forward scheme is employed,the signal received by the relay is retrans-mitted after it passes through a linear filter.The objective of the paper is to concurrently design optimal recursive filters for FFSR and stochastic systems against switching characteristics and IRI of relays.First,a uniform measurement model is proposed by analyzing the transmission mechanism of FFSR.Then,novel fil-ter structures with switching parameters are constructed for both FFSR and stochastic systems.With the help of the inductive method,filtering error covariances are presented in the form of coupled difference equations.Next,the desired filter gain matri-ces are further obtained by minimizing the trace of filtering error covariances.Moreover,the stability performance of the filtering algorithm is analyzed where the uniform bound is guaranteed on the filtering error covariance.Finally,the effectiveness of the pro-posed filtering method over FFSR is verified by a three-order resistance-inductance-capacitance circuit system.
      原文链接:
    • 国家科技期刊平台
    • NETL
    • NSTL
    • 万方数据
    • 维普