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检索条件"机构=School of Automation and Key Laboratory for Intelligent Control"
14045 条 记 录,以下是4991-5000 订阅
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control Strategy of Multi-axis Serial Manipulator Based on Improved Active Disturbance Rejection control
Control Strategy of Multi-axis Serial Manipulator Based on I...
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第34届中国控制与决策会议
作者: Pengcheng Hu Chaochen Gu Kaijie Wu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management
Aiming at the sudden change of load torque and uncertain external disturbance that multi-axis serial manipulators may face during operation,an improved Active Disturbance Rejection controller(ADRC) assisted by a Nonli... 详细信息
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Discrete particle swarm algorithm with Q-Learning for solving flexible job shop scheduling problem with parallel batch processing machine  2
Discrete particle swarm algorithm with Q-Learning for solvin...
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2022 2nd International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2022
作者: Song, Libo Liu, Chang Shi, Haibo Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China
For the flexible job shop scheduling problem with parallel batch processing machines (FJSP-PBPM), the mathematical model of the problem is defined, and an improved enhanced discrete particle swarm algorithm is propose... 详细信息
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Digital Twin-Based Service System Platform
Digital Twin-Based Service System Platform
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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024
作者: Ma, Zeyu Wang, Hongjun Zhang, Mingliang School of Mechanical Electrical Engineering Beijing University of Information Science and Technology Beijing100192 China Beijing International Science Cooperation Base of High-End Equipment Intelligent Perception Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China Beijing Institute of Radio Measurement Beijing100854 China School of Information Management Beijing Information Science and Technology University Beijing100192 China
This paper discusses the integration and application of digital twin technology within the manufacturing sector, underscoring its pivotal role in advancing the Industry 4.0 revolution. Digital twin technology, which c... 详细信息
来源: 评论
Health prognostics framework of lithium-ion batteries for real-world electric vehicles based on charging data
Health prognostics framework of lithium-ion batteries for re...
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International Conference on Power Electronics and Motion control (IPEMC)
作者: Yi Yang Xiaohua Wu Gang Yang Ji Yan Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province School of Automobile and Transportation Xihua University Chengdu China Sichuan Engineering Research Center of Intelligent Control and Simulation Test Technology for New Energy Vehicles Xihua University Chengdu China
Lithium-ion batteries’ state of health (SOH) is critical to safely managing electric vehicles (EVs). This paper proposes a battery health prognostic framework based on charging data for real-world EVs. First, the cap... 详细信息
来源: 评论
Multi-target Cooperative Path Planning for Air-Sea Heterogeneous Unmanned System
Multi-target Cooperative Path Planning for Air-Sea Heterogen...
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International Symposium on Autonomous Systems (ISAS)
作者: Shaoxin Qin Xingwang Yang Wangcheng Zhang Mingyang Sun Xingyu Liu Ziyang Zhen State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China CASIC Research Institute of Intelligent Decision Engineering Wuhan China
This paper focuses on the cooperative path planning of multi-target heterogeneous unmanned systems in air-sea. In the face of multiple targets, Unmanned Aerial Vehicles (UAV) flies fast, but its range and load capacit...
来源: 评论
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
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IEEE Network 2025年
作者: Li, Xuzeng Zhang, Tao Wang, Jian Han, Zhen Liu, Jiqiang Kang, Jiawen Niyato, Dusit Jamalipour, Abbas Beijing Jiaotong University School of Cyberspace Science and Technology China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing100044 China Guangdong University of Technology Technology School of Automation China Nanyang Technological University College of Computing and Data Science Singapore University of Sydney SydneyNSW2006 Australia
Deep reinforcement learning (DRL) has been widely used in many important tasks of communication networks. In order to improve the perception ability of DRL on the network, some studies have combined graph neural netwo... 详细信息
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A Self-Adaptive Trust Region Method to Solve the Tensor Eigenvalue Complementarity Problems  23
A Self-Adaptive Trust Region Method to Solve the Tensor Eige...
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Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture
作者: Ping Wang Jianguo Liu Yong Zhang Yueming Xiang School of Mathematics and Computational Science Huaihua University China School of Mathematics and Computational Science Huaihua University China and Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua Huaihua University China
In this paper, according to utilizing a self-adaptive technique, we present a self-adaptive trust region method for effectively solving tensor eigenvalue complementarity problems of various structures. Our proposed me... 详细信息
来源: 评论
Barrier Offset Varying-Parameter Dynamic Learning Network for Solving Dual-Arms Human-Like Behavior Generation
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IEEE Transactions on Cognitive and Developmental Systems 2025年
作者: Zhang, Zhijun Zhang, Mingyang Guo, Jinjia He, Haotian School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Key Library of Autonomous Systems and Network Control Ministry of Education China Jiangxi Thousand Talents Plan Nanchang University Nanchang330031 China Guangzhou510335 China Shaanxi Provincial Key Laboratory of Industrial Automation School of Mechanical Engineering Shanxi University of Technology Hanzhong723001 China School of Information Science and Engineering Changsha Normal University Changsha410100 China School of Automation Science and Engineering Institute of Artificial Intelligence and Automation Guangdong University of Petrochemical Technology Maoming525000 China School of Computer Science and Engineering Jishou University Jishou416000 China
Enabling robots to imitate human actions and perform tasks with high precision while avoiding potential obstacles in the environment can effectively enhance the interaction between social robots and humans. In this pa... 详细信息
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The improved approach for calculating residual error rates in SIS communication  12
The improved approach for calculating residual error rates i...
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12th International Conference on CYBER Technology in automation, control, and intelligent Systems, CYBER 2022
作者: Zhou, Xiufang Xu, Aidong Yan, Bingjun Sun, Yue Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China
The residual error rate is an essential parameter for evaluating the functional safety of a communication system, based on the requirements of safety communication in the safety instrumented system (SIS). The traditio... 详细信息
来源: 评论
Protein-Folding Inspired Programmable control System for Robot Swarms
Protein-Folding Inspired Programmable Control System for Rob...
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IEEE International Conference on Robotics and Biomimetics
作者: Feng Zhang Yuping Gu Zebin Wang Shuai Yuan Yongliang Yang School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang Liaoning China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Liaoning China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang Liaoning China
In swarm robotics, most of the control algorithms are inspired by the behaviors of animal swarms. The capability gap between robots and animals, however, hinders the reliability of these algorithms. Toward developing ... 详细信息
来源: 评论