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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

主办单位：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

出版周期：双月刊

国际刊号：2329-9266

电子邮箱：yan.ou@ia.ac.cn

电　　话：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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Decentralized Optimal Control and Stabilization of Interconnected Systems With Asymmetric Information

Na WangXiao LiangHongdan LiXiao Lu...

698-707页

查看更多>>摘要：The paper addresses the decentralized optimal con-trol and stabilization problems for interconnected systems sub-ject to asymmetric information.Compared with previous work,a closed-loop optimal solution to the control problem and sufficient and necessary conditions for the stabilization problem of the interconnected systems are given for the first time.The main challenge lies in three aspects:Firstly,the asymmetric informa-tion results in coupling between control and estimation and fail-ure of the separation principle.Secondly,two extra unknown variables are generated by asymmetric information(different information filtration)when solving forward-backward stochas-tic difference equations.Thirdly,the existence of additive noise makes the study of mean-square boundedness an obstacle.The adopted technique is proving and assuming the linear form of controllers and establishing the equivalence between the two sys-tems with and without additive noise.A dual-motor parallel drive system is presented to demonstrate the validity of the proposed algorithm.

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Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement

Hongmin LiuQi ZhangYufan HuHui Zeng...

708-722页

查看更多>>摘要：Underwater image enhancement aims to restore a clean appearance and thus improves the quality of underwater degraded images.Current methods feed the whole image directly into the model for enhancement.However,they ignored that the R,G and B channels of underwater degraded images present varied degrees of degradation,due to the selective absorption for the light.To address this issue,we propose an unsupervised multi-expert learning model by considering the enhancement of each color channel.Specifically,an unsupervised architecture based on generative adversarial network is employed to alleviate the need for paired underwater images.Based on this,we design a genera-tor,including a multi-expert encoder,a feature fusion module and a feature fusion-guided decoder,to generate the clear underwater image.Accordingly,a multi-expert discriminator is proposed to verify the authenticity of the R,G and B channels,respectively.In addition,content perceptual loss and edge loss are introduced into the loss function to further improve the content and details of the enhanced images.Extensive experiments on public datasets demon-strate that our method achieves more pleasing results in vision quality.Various metrics(PSNR,SSIM,UIQM and UCIQE)eval-uated on our enhanced images have been improved obviously.

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Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control

Xiongbo WanChaoling ZhangFan WeiChuan-Ke Zhang...

723-733页

查看更多>>摘要：This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC)for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative dynamic vari-able and an additive dynamic variable.The addressed DETM-based fuzzy MPC issue is described as a"min-max"optimization problem(OP).To facilitate the co-design of the MPC controller and the weighting matrix of the DETM,an auxiliary OP is pro-posed based on a new Lyapunov function and a new robust posi-tive invariant(RPI)set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy MPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI set.With the designed controller,the involved fuzzy system is ensured to be asymptotically stable.Two examples show that the new DETM and DETM-based MPC algorithm have the advantages of reduc-ing resource consumption while yielding the anticipated perfor-mance.

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Distributed Economic MPC for Synergetic Regul-ation of the Voltage of an Island DC Micro-Grid

Yi ZhengYanye WangXun MengShaoyuan Li...

734-745页

查看更多>>摘要：In this paper,distributed model predictive control(DMPC)for island DC micro-grids(MG)with wind/photovoltaic(PV)/battery power is proposed,which coordinates all distributed generations(DG)to stabilize the bus voltage together with the insurance of having computational efficiency under a real-time requirement.Based on the feedback of the bus voltage,the devia-tion of the current is dispatched to each DG according to cost over the prediction horizon.Moreover,to avoid the excessive fluctuation of the battery power,both the discharge-charge switching times and costs are considered in the model predictive control(MPC)optimization problems.A Lyapunov constraint with a time-varying steady-state is designed in each local MPC to guarantee the stabilization of the entire system.The voltage stabi-lization of the MG is achieved by this strategy with the coopera-tion of DGs.The numeric results of applying the proposed method to a MG of the Shanghai Power Supply Company shows the effectiveness of the distributed economic MPC.

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A Mean-Field Game for a Forward-Backward Stochastic System With Partial Observation and Common Noise

Pengyan HuangGuangchen WangShujun WangHua Xiao...

746-759页

查看更多>>摘要：This paper considers a linear-quadratic(LQ)mean-field game governed by a forward-backward stochastic system with partial observation and common noise,where a coupling structure enters state equations,cost functionals and observation equations.Firstly,to reduce the complexity of solving the mean-field game,a limiting control problem is introduced.By virtue of the decomposition approach,an admissible control set is pro-posed.Applying a filter technique and dimensional-expansion technique,a decentralized control strategy and a consistency con-dition system are derived,and the related solvability is also addressed.Secondly,we discuss an approximate Nash equilib-rium property of the decentralized control strategy.Finally,we work out a financial problem with some numerical simulations.

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A Fractional-Order Ultra-Local Model-Based Adap-tive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone

Dingxin HeHaoPing WangYang TianYida Guo...

760-781页

查看更多>>摘要：This paper proposes an adaptive neural network sliding mode control based on fractional-order ultra-local model for n-DOF upper-limb exoskeleton in presence of uncertainties,external disturbances and input deadzone.Considering the model complexity and input deadzone,a fractional-order ultra-local model is proposed to formulate the original dynamic system for simple controller design.Firstly,the control gain of ultra-local model is considered as a constant.The fractional-order sliding mode technique is designed to stabilize the closed-loop system,while fractional-order time-delay estimation is combined with neural network to estimate the lumped disturbance.Correspond-ingly,a fractional-order ultra-local model-based neural network sliding mode controller(FO-NNSMC)is proposed.Secondly,to avoid disadvantageous effect of improper gain selection on the control performance,the control gain of ultra-local model is con-sidered as an unknown parameter.Then,the Nussbaum tech-nique is introduced into the FO-NNSMC to deal with the stability problem with unknown gain.Correspondingly,a fractional-order ultra-local model-based adaptive neural network sliding mode controller(FO-ANNSMC)is proposed.Moreover,the stability analysis of the closed-loop system with the proposed method is presented by using the Lyapunov theory.Finally,with the co-sim-ulations on virtual prototype of 7-DOF iReHave upper-limb exoskeleton and experiments on 2-DOF upper-limb exoskeleton,the obtained compared results illustrate the effectiveness and superiority of the proposed method.

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