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检索条件"机构=Institute for Automation and System Engineering"
1930 条 记 录,以下是1-10 订阅
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Kernel-Based State-Space Kriging for Predictive Control
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IEEE/CAA Journal of Automatica Sinica 2023年 第5期10卷 1263-1275页
作者: A.Daniel Carnerero Daniel R.Ramirez Daniel Limon Teodoro Alamo the Department of System Engineering and Automation University of SevilleSevilla 41020Spain the School of Engineering Tokyo Institute of TechnologyTokyo 152-8552Japan Department of System Engineering and Automation University of SevilleSevilla 41020Spain
In this paper, we extend the state-space kriging(SSK) modeling technique presented in a previous work by the authors in order to consider non-autonomous systems. SSK is a data-driven method that computes predictions a... 详细信息
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A novel stiffness optimization model of space telescopic boom based on locking mechanism
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Frontiers of Mechanical engineering 2024年 第3期19卷 41-59页
作者: Kun XU Xinghan ZHUANG Zhou SU Qiuhong LIN Shouzhi REN Hang XIAO Xilun DING School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Beijing Institute of Spacecraft System Engineering Beijing 100094China
The deployable telescopic boom,whose mass and stiffness play crucial roles,is extensively used in the design of space-deployable ***,the most existing optimal design that neglects the influence of the locking mechanis... 详细信息
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Parallel system Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control
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CSEE Journal of Power and Energy systems 2024年 第1期10卷 13-28页
作者: Tianyun Zhang Jun Zhang Feiyue Wang Peidong Xu Tianlu Gao Haoran Zhang Ruiqi Si School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072HubeiChina State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China
In artificial intelligence(AI)based-complex power system management and control technology,one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence ***,there is,currently,near... 详细信息
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Controllability of heterogeneous networked sampled-data systems
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Science China(Information Sciences) 2025年 第3期68卷 302-318页
作者: Zixuan YANG Lin WANG Xiaofan WANG Guanrong CHEN Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China School of Mechatronic Engineering and Automation Shanghai University School of Electrical and Electronic Engineering Shanghai Institute of Technology Department of Electrical Engineering City University of Hong Kong
This study investigates the controllability of a general heterogeneous networked sampled-data system(HNSS) consisting of nonidentical node systems, where the inner coupling between any pair of nodes can be described b... 详细信息
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Study on plasma expansion model of primary discharge on spacecraft solar array
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Plasma Science and Technology 2024年 第11期26卷 87-95页
作者: Dejie WEI Jianwen WU Liying ZHU School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191People’s Republic of China Institute of Spacecraft System Engineering CAST Beijing 100094People’s Republic of China
In the space plasma environment, primary discharge may occur on the solar array and evolve into a destructive sustained arc, which threatens the safe operation of the spacecraft. Based on the plasma expansion fluid th... 详细信息
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Spiking Reinforcement Learning Enhanced by Bioinspired Event Source of Multi-dendrite Spiking Neuron and Dynamic Thresholds
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IEEE/CAA Journal of Automatica Sinica 2025年 第3期12卷 618-629页
作者: Xingyue Liang Qiaoyun Wu Yun Zhou Chunyu Tan Hongfu Yin Changyin Sun the School of Artificial Intelligence Anhui University Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education IEEE the Institute of Artificial Intelligence Hefei Comprehensive National Science Center the School of Automation Southeast University the Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education
Deep reinforcement learning(DRL) achieves success through the representational capabilities of deep neural networks(DNNs). Compared to DNNs, spiking neural networks(SNNs),known for their binary spike information proce... 详细信息
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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes
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IEEE/CAA Journal of Automatica Sinica 2025年 第1期12卷 126-137页
作者: Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University
This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance ru... 详细信息
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Development of a cable-driven redundant space manipulator with large bending angle by combining quaternion joints and segmented coupled linkages mechanism
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Chinese Journal of Aeronautics 2023年 第11期36卷 483-499页
作者: Taiwei YANG Jian HUANG Wenfu XU Ke SHAO Bin LIANG School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Department of Automation Tsinghua UniversityBeijing 100854China
A cable-driven redundant manipulator has significant potential in confined space applications, such as environmental exploration, equipment monitoring, or maintenance. A traditional design requires 3N driving motors/c... 详细信息
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Physical Mechanism Enabled Neural Network for Power system Dynamic Security Assessment
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CSEE Journal of Power and Energy systems 2024年 第6期10卷 2296-2307页
作者: Guozheng Wang Jianbo Guo Shicong Ma Kui Luo Xi Zhang Qinglai Guo Shixiong Fan Tiezhu Wang Weilin Hou Department of Power System China Electric Power Research InstituteBeijing 100192China School of Automation Beijing Institute of TechnologyBeijing 100081China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China
Data-driven artificial intelligence technologies have emerged as increasingly fascinating tools for assessing power system ***,their inherent mechanism of inexplicability and unreliability now limits their scalability... 详细信息
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Research on Digital Twin system Platform Framework and Key Technologies of Unmanned Ground Equipment
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Complex system Modeling and Simulation 2024年 第2期4卷 109-123页
作者: Kunyu Wang Lin Zhang Cheng Xu Han Lu Zhen Chen Hongbo Cheng Rui Guo the School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China the State Key Laboratory of Intelligent Manufacturing System Technology Beijing 100854China the Beijing Institute of Electronic System Engineering Beijing 100854China
As an emerging technology,digital twin is expected to bring novel application modes to the whole life cycle process of unmanned ground equipment,including research and development,design,control optimization,operation... 详细信息
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