《IEEE/CAA Journal of Automatica Sinica》

作品数：1518被引量：4144H指数：26
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《IEEE/CAA Journal of Automatica Sinica》
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
最新期次：2024年12期更多>>
发文主题：CONTROLLETTERREINFORCEMENT_LEARNINGMULTI-AGENT_SYSTEMSCONSENSUS更多>>
发文领域：自动化与计算机技术理学交通运输工程电子电信更多>>
发文基金：国家自然科学基金中国博士后科学基金北京市自然科学基金国家高技术研究发展计划更多>>
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Distributed Fixed-Time Optimal Energy Management for Microgrids Based on a Dynamic Event-Triggered Mechanism
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2396-2407,共12页Feisheng Yang Jiaming Liu Xiaohong Guan 
supported by the National Natural Science Foundation of China(62473316,62073269);the Natural Science Foundation of Chongqing,China(CSTB2022NSCQ-MSX0963);Guangdong Basic and Applied Basic Research Foundation(2023A1515011220);Aeronautical Science Foundation of China(2020Z034053002)。
The article investigates the optimal energy management(OEM)problem for microgrids.To figure out the problem in fixed time and alleviate communication load with limited resources,this article devises a novel fixed-time...
关键词：Distributed optimization dynamic event-triggered(ET)mechanism fixed-time consensus MICROGRID optimal energy management(OEM) 
Safe Q-Learning for Data-Driven Nonlinear Optimal Control With Asymmetric State Constraints
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2408-2422,共15页Mingming Zhao Ding Wang Shijie Song Junfei Qiao 
supported in part by the National Science and Technology Major Project(2021ZD0112302);the National Natural Science Foundation of China(62222301,61890930-5,62021003)。
This article develops a novel data-driven safe Q-learning method to design the safe optimal controller which can guarantee constrained states of nonlinear systems always stay in the safe region while providing an opti...
关键词：Adaptive critic control adaptive dynamic programming(ADP) control barrier functions(CBF) stabilizing value iteration Q-learning(SVIQL) state constraints 
Cas-FNE:Cascaded Face Normal Estimation
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2423-2434,共12页Meng Wang Jiawan Zhang Jiayi Ma Xiaojie Guo 
supported by the National Natural Science Foundation of China(62072327)。
Capturing high-fidelity normals from single face images plays a core role in numerous computer vision and graphics applications.Though significant progress has been made in recent years,how to effectively and efficien...
关键词：Cascaded learning face normal progressive refinement shared-parameter 
Multi-View Dynamic Kernelized Evidential Clustering
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2435-2450,共16页Jinyi Xu Zuowei Zhang Ze Lin Yixiang Chen Weiping Ding 
supported in part by the Youth Foundation of Shanxi Province(5113240053);the Fundamental Research Funds for the Central Universities(G2023KY05102);the Natural Science Foundation of China(61976120);the Natural Science Foundation of Jiangsu Province(BK20231337);the Natural Science Key Foundation of Jiangsu Education Department(21KJA510004)。
It is challenging to cluster multi-view data in which the clusters have overlapping areas.Existing multi-view clustering methods often misclassify the indistinguishable objects in overlapping areas by forcing them int...
关键词：Evidential clustering imprecision characterizing kernel technique multi-view clustering 
High-Order Fully Actuated System Models for Strict-Feedback Systems With Increasing Dimensions
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2451-2462,共12页Xiang Xu Guang-Ren Duan 
partly supported by Shenzhen Key Laboratory of Control Theory and Intelligent Systems(ZDSYS20220330161800001);the National Natural Science Foundation of China(NSFC)(62350055)。
This paper mainly addresses control problems of strict-feedback systems(SFSs)with increasing dimensions.Compared with the commonly-considered SFSs where the subsystems have the same dimension,we aim to handle more com...
关键词：Increasing dimensions high-order fully-actuated system nonlinear systems strict-feedback systems 
Human Observation-Inspired Universal Image Acquisition Paradigm Integrating Multi-Objective Motion Planning and Control for Robotics
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2463-2475,共13页Haotian Liu Yuchuang Tong Zhengtao Zhang 
supported in part by the National Natural Science Foundation of China(62303457,U21A20482);China Postdoctoral Science Foundation(2023M733737);the National Key Research and Development Program of China(2022YFB3303800)。
Image acquisition stands as a prerequisite for scrutinizing surfaces inspection in industrial high-end manufacturing.Current imaging systems often exhibit inflexibility,being confined to specific objects and encounter...
关键词：Industrial robotics human observation-inspired meta-heuristic recurrent neural network motion planning and control universal image acquisition 
Controllability of Multi-Relational Networks With Heterogeneous Dynamical Nodes
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2476-2486,共11页Lifu Wang Zhaofei Li Lianqian Cao Ge Guo Zhi Kong 
supported by the National Natural Science Foundation of China(61573077,U1808205);China Scholarship Council(202308130119);Natural Science Foundation of Hebei Province(F2022501005)。
This paper studies the controllability of networked systems,in which the nodes are heterogeneous high-dimensional dynamical systems,and the links between nodes are multi-relational.Our aim is to find controllability c...
关键词：Heterogeneous network multi-relational network network controllability node dynamics 
High-Order Control Barrier Function-Based Safety Control of Constrained Robotic Systems:An Augmented Dynamics Approach
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2487-2496,共10页Haijing Wang Jinzhu Peng Fangfang Zhang Yaonan Wang 
supported in part by the National Natural Science Foundation of China(62273311,61773351);Henan Provincial Science Foundation for Distinguished Young Scholars(242300421051)。
Although constraint satisfaction approaches have achieved fruitful results,system states may lose their smoothness and there may be undesired chattering of control inputs due to switching characteristics.Furthermore,i...
关键词：Augmented dynamics high-order control barrier function(HoCBF) input-output constraints quadratic program(QP) robotic systems 
Robust Offline Actor-Critic With On-policy Regularized Policy Evaluation
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2497-2511,共15页Shuo Cao Xuesong Wang Yuhu Cheng 
supported in part by the National Natural Science Foundation of China(62176259,62373364);the Key Research and Development Program of Jiangsu Province(BE2022095)。
To alleviate the extrapolation error and instability inherent in Q-function directly learned by off-policy Q-learning(QL-style)on static datasets,this article utilizes the on-policy state-action-reward-state-action(SA...
关键词：Offline reinforcement learning off-policy QL-style on-policy SARSA-style policy evaluation(PE) Q-value estimation 
Level Curve Tracking via Robust RL-Guided Model Predictive Control
《IEEE/CAA Journal of Automatica Sinica》2024年第12期2512-2514,共3页Zhuo Li Yunlong Guo Gang Wang Wei Chen 
supported by the National Science and Technology Major Project(2022ZD0119302);the National Natural Science Foundation of China(62173034,U23B 2059,62088101,62303054)。
Dear Editor,This letter investigates the level curve tracking problem of unknown scalar fields using an unmanned aerial vehicle(UAV)and presents a robust reinforcement learning(RL)-guided model predictive control(MPC)...
关键词：LETTER DESIRED SCHEME 
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