咨询与建议

限定检索结果

文献类型

  • 807 篇 会议
  • 407 篇 期刊文献

馆藏范围

  • 1,214 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 825 篇 工学
    • 300 篇 控制科学与工程
    • 298 篇 软件工程
    • 285 篇 计算机科学与技术...
    • 209 篇 机械工程
    • 149 篇 电气工程
    • 110 篇 信息与通信工程
    • 99 篇 电子科学与技术(可...
    • 78 篇 仪器科学与技术
    • 68 篇 动力工程及工程热...
    • 57 篇 生物工程
    • 43 篇 交通运输工程
    • 42 篇 光学工程
    • 39 篇 材料科学与工程(可...
    • 33 篇 力学(可授工学、理...
    • 33 篇 航空宇航科学与技...
    • 31 篇 土木工程
    • 29 篇 化学工程与技术
    • 26 篇 建筑学
    • 26 篇 安全科学与工程
    • 23 篇 生物医学工程(可授...
  • 412 篇 理学
    • 204 篇 数学
    • 115 篇 物理学
    • 113 篇 系统科学
    • 61 篇 生物学
    • 50 篇 统计学(可授理学、...
    • 28 篇 化学
  • 145 篇 管理学
    • 121 篇 管理科学与工程(可...
    • 30 篇 工商管理
    • 24 篇 图书情报与档案管...
  • 19 篇 医学
  • 18 篇 法学
  • 15 篇 经济学
  • 12 篇 农学
  • 8 篇 军事学
  • 3 篇 艺术学
  • 2 篇 教育学
  • 1 篇 文学

主题

  • 34 篇 feature extracti...
  • 23 篇 optimization
  • 23 篇 accuracy
  • 23 篇 training
  • 19 篇 deep learning
  • 19 篇 automation
  • 17 篇 stability analys...
  • 17 篇 trajectory
  • 17 篇 control systems
  • 16 篇 object detection
  • 16 篇 computational mo...
  • 15 篇 simulation
  • 15 篇 neural networks
  • 15 篇 mathematical mod...
  • 15 篇 multi-agent syst...
  • 15 篇 adaptive control
  • 14 篇 reinforcement le...
  • 14 篇 closed loop syst...
  • 14 篇 sliding mode con...
  • 14 篇 topology

机构

  • 264 篇 school of automa...
  • 163 篇 key laboratory o...
  • 135 篇 key laboratory o...
  • 53 篇 key laboratory o...
  • 24 篇 school of automa...
  • 24 篇 shaanxi key labo...
  • 19 篇 shaanxi key labo...
  • 18 篇 ministry of educ...
  • 18 篇 shaanxi key labo...
  • 15 篇 southeast univer...
  • 15 篇 school of automa...
  • 14 篇 southeast univer...
  • 14 篇 southeast univer...
  • 13 篇 key laboratory o...
  • 13 篇 school of automa...
  • 12 篇 national key lab...
  • 12 篇 state key labora...
  • 11 篇 ieee
  • 11 篇 southeast univer...
  • 11 篇 school of automa...

作者

  • 68 篇 shihua li
  • 43 篇 li shihua
  • 38 篇 xiaobo lu
  • 38 篇 lu xiaobo
  • 29 篇 shumin fei
  • 26 篇 changyin sun
  • 26 篇 ding liu
  • 24 篇 ya zhang
  • 22 篇 kanjian zhang
  • 21 篇 haikun wei
  • 21 篇 xiangyu wang
  • 19 篇 da feipeng
  • 19 篇 fei shumin
  • 17 篇 jun yang
  • 16 篇 fang fang
  • 15 篇 xianzhong dai
  • 14 篇 dai xianzhong
  • 14 篇 kaifeng zhang
  • 14 篇 hong-sen yan
  • 14 篇 yang jie

语言

  • 1,036 篇 英文
  • 131 篇 其他
  • 47 篇 中文
检索条件"机构=Key Laboratory of Measurement and Control of Complex System of Engineering"
1214 条 记 录,以下是201-210 订阅
排序:
GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances  42
GPIO Based Iterative Learning Control for Manipulators with ...
收藏 引用
42nd Chinese control Conference, CCC 2023
作者: Lu, Huangyuwei Wang, Zuo Sun, Jiankun Xiao, Xi Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southeast University Shenzhen518063 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China
To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A h... 详细信息
来源: 评论
Network Intrusion Detection Model Based on Space-time Fusion Features and Attention Mechanism  33
Network Intrusion Detection Model Based on Space-time Fusion...
收藏 引用
第33届中国控制与决策会议
作者: Yali Wu Liting Huang Jinjin Qi Xiaoxiao Quan School of Automation and Information Engineering Xi'an University of Technology Shaanxi ProvinceKeyLaboratory of Complex System Control and Intelligent Information Processing Shaanxi Province Key Laboratory of Complex System Control and Intelligent Information Processing
To solve the problem of low performance of network intrusion detection,a deep learning intrusion detection model based on space-time fusion features and attention mechanism—CLT-net is *** this model,space-time fusion... 详细信息
来源: 评论
Robust Speed Regulation of PMSM under Disturbances and Noises using Composite Model Predictive control
Robust Speed Regulation of PMSM under Disturbances and Noise...
收藏 引用
第42届中国控制会议
作者: Linxuan Mao Jinya Su Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University
This paper presents a single-loop Model Predictive control strategy that incorporates a reduced-order Generalized Proportional Integral Observe and a Kalman filter to enhance the speed regulation of Permanent Magnet S...
来源: 评论
Adaptive Multi-Dimensional Taylor Network Tracking control for Stochastic Nonlinear systems with Full-State Constraints and Input Saturation
Adaptive Multi-Dimensional Taylor Network Tracking Control f...
收藏 引用
International Conference on Robotics and Automation engineering (ICRAE)
作者: Xiao-Yi Zheng Hong-Sen Yan Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education and School of Automation Southeast University Nanjing China
In this study, an adaptive tracking controller using multi-dimensional Taylor network (MTN) is presented for state-constrained nonlinear stochastic systems with saturated input, in which MTN is implemented to model th...
来源: 评论
PMSM system Identification by Knowledge-informed Machine Learning
PMSM System Identification by Knowledge-informed Machine Lea...
收藏 引用
IEEE International Conference on Industrial Informatics (INDIN)
作者: Yue Yu Jiageng Tong Jinhui Xia Jinya Su Shihua Li School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China
Because of its excellent efficiency, compact dimen-sions, and accurate control features, Permanent Magnet Syn-chronous Motor (PMSM) are experiencing widespread applications across various industries. By accurately cha... 详细信息
来源: 评论
Fall-LSTM: A Fall Detection Network Based on Spatio-Temporal Location Module
Fall-LSTM: A Fall Detection Network Based on Spatio-Temporal...
收藏 引用
Chinese control Conference (CCC)
作者: Dapeng Xu Xiaobo Lu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China
Fall events have unique dynamic features, which are not fully utilized by existing fall detection methods. Based on video understanding, we propose Fall-LSTM to learn such features pertinently without additional input...
来源: 评论
An Adaptive Event-Triggered Secondary Regulation Strategy for Microgrids with Loss of Effectiveness Actuator Faults
An Adaptive Event-Triggered Secondary Regulation Strategy fo...
收藏 引用
Annual Conference of Industrial Electronics Society
作者: Xuechao Qiu Xiangyu Wang Dan Niu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China
In this paper, an adaptive event-triggered secondary regulation strategy is investigated for microgrids with loss of effectiveness actuator faults. In order to deal with unknown loss of effectiveness actuator faults, ...
来源: 评论
Enhancing Human-AI Trust by Describing AI Decision-Making Behavior
Enhancing Human-AI Trust by Describing AI Decision-Making Be...
收藏 引用
IEEE International Conference on Unmanned systems (ICUS)
作者: Zhouwei Lou Haikun Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China
Air combat game is a highly complex and dynamic decision-making problem that is crucial for ensuring national security and improving combat efficiency. In recent years, artificial intelligence (AI) technologies such a...
来源: 评论
Adaptive Cooperative Estimation and Guidance Against Unknown Maneuvering Target
收藏 引用
IEEE Transactions on Aerospace and Electronic systems 2025年
作者: Liu, Tianrun Chen, Yang-Yang Li, Shihua Southeast University School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Advanced Ocean Institute of Southeast University Nantong226000 China
A critical challenge in missile guidance is the frequent inaccessibility of essential target information by on-board seekers. This paper studies the three-dimensional cooperative guidance issue of multiple missiles si... 详细信息
来源: 评论
Research on Evolutionary Guiding Strategy for Self-organized Aggregates of Massive Flexible Resources  4
Research on Evolutionary Guiding Strategy for Self-organized...
收藏 引用
4th International Conference on Advanced Electrical and Energy systems, AEES 2023
作者: Mao, Tingfeng Zhang, Kaifeng Yin, Changwei Pan, Xiaohui Ma, Nan Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Nanjing210096 China Nanjing Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd. Nanjing210019 China
With the improvement of communication technology and the management of demand-side, more and more researches focus on the aggregation technology of flexible resources on the demand side. This paper proposes to build a... 详细信息
来源: 评论