咨询与建议

限定检索结果

文献类型

  • 1,848 篇 会议
  • 573 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 2,422 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,583 篇 工学
    • 644 篇 软件工程
    • 598 篇 控制科学与工程
    • 583 篇 计算机科学与技术...
    • 445 篇 机械工程
    • 233 篇 电气工程
    • 185 篇 仪器科学与技术
    • 183 篇 电子科学与技术(可...
    • 142 篇 信息与通信工程
    • 75 篇 生物工程
    • 64 篇 交通运输工程
    • 60 篇 动力工程及工程热...
    • 59 篇 化学工程与技术
    • 47 篇 生物医学工程(可授...
    • 40 篇 光学工程
    • 39 篇 冶金工程
    • 39 篇 土木工程
    • 38 篇 材料科学与工程(可...
    • 37 篇 安全科学与工程
    • 35 篇 石油与天然气工程
    • 33 篇 建筑学
  • 724 篇 理学
    • 409 篇 数学
    • 269 篇 系统科学
    • 130 篇 物理学
    • 118 篇 统计学(可授理学、...
    • 77 篇 生物学
    • 46 篇 化学
  • 319 篇 管理学
    • 274 篇 管理科学与工程(可...
    • 54 篇 工商管理
    • 45 篇 图书情报与档案管...
  • 38 篇 医学
  • 31 篇 经济学
  • 26 篇 法学
  • 16 篇 教育学
  • 13 篇 艺术学
  • 12 篇 农学
  • 7 篇 军事学
  • 5 篇 文学
  • 1 篇 历史学

主题

  • 65 篇 feature extracti...
  • 61 篇 training
  • 52 篇 mathematical mod...
  • 50 篇 control systems
  • 46 篇 stability analys...
  • 46 篇 optimization
  • 45 篇 predictive model...
  • 44 篇 neural networks
  • 42 篇 trajectory
  • 37 篇 automation
  • 33 篇 computational mo...
  • 31 篇 deep learning
  • 31 篇 state estimation
  • 29 篇 simulation
  • 29 篇 accuracy
  • 29 篇 synchronization
  • 29 篇 robustness
  • 28 篇 delays
  • 28 篇 robot kinematics
  • 28 篇 data models

机构

  • 879 篇 hubei key labora...
  • 768 篇 school of automa...
  • 389 篇 engineering rese...
  • 171 篇 school of automa...
  • 79 篇 qingdao academy ...
  • 75 篇 key laboratory o...
  • 56 篇 state key labora...
  • 54 篇 key laboratory o...
  • 50 篇 state key labora...
  • 47 篇 school of artifi...
  • 46 篇 the state key la...
  • 46 篇 ministry of educ...
  • 44 篇 state key labora...
  • 43 篇 state key labora...
  • 42 篇 school of engine...
  • 41 篇 school of automa...
  • 40 篇 the state key la...
  • 38 篇 china university...
  • 38 篇 hubei key labora...
  • 38 篇 key laboratory o...

作者

  • 154 篇 min wu
  • 80 篇 weihua cao
  • 72 篇 fei-yue wang
  • 70 篇 xin chen
  • 67 篇 jinhua she
  • 62 篇 wu min
  • 59 篇 gang xiong
  • 50 篇 yuanqing xia
  • 49 篇 luefeng chen
  • 46 篇 chen jie
  • 43 篇 yong he
  • 43 篇 wang fei-yue
  • 41 篇 junzheng wang
  • 41 篇 jie chen
  • 38 篇 xiangdong liu
  • 38 篇 cao weihua
  • 37 篇 chuan-ke zhang
  • 37 篇 chengda lu
  • 34 篇 liping yan
  • 32 篇 xiong gang

语言

  • 2,335 篇 英文
  • 63 篇 其他
  • 29 篇 中文
  • 1 篇 法文
检索条件"机构=Laboratory of Intelligent Control and Optimization of Complex Systems"
2422 条 记 录,以下是831-840 订阅
排序:
Autocorrelation Invariance Property of Chaos for Wireless Communication
arXiv
收藏 引用
arXiv 2022年
作者: Yin, Hui-Ping Ren, Hai-Peng Grebogi, Celso Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'An710048 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AB24 3UE United Kingdom
A new feature of the chaotic signal generated by chaotic shape-forming filter (CSF) is uncovered in this work. We find that, the autocorrelation function (ACF) of the transmitting signal generated by CSF keeps the sam... 详细信息
来源: 评论
An Improved Synchronization Criterion for Time-Delayed Lur'e systems via Cubic Function Negative-Determination Lemma
An Improved Synchronization Criterion for Time-Delayed Lur'e...
收藏 引用
Chinese control Conference (CCC)
作者: Yu-Fei Peng Yu-Long Fan Yong He Xing-Chen Shangguan School of Automation China University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P. R. China
In this paper, the master-slave synchronization issue of chaotic Lur’ e systems with time-varying-delay feedback control is investigated. Firstly, the synchronization problem of chaotic system is transformed into the...
来源: 评论
Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments
Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...
收藏 引用
Congress on Evolutionary Computation
作者: Michalis Mavrovouniotis Changhe Li Danial Yazdani Diofantos Handjimitsis ERATOSTHENES Centre of Excellence Limassol Cyprus Department of Civil Engineering and Geomatics Cyprus University of Technology Limassol Cyprus Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Wuhan China Faculty of Engineering & Information Technology University of Technology Sydney Sydney Australia
In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, know... 详细信息
来源: 评论
H∞ State Estimation for Time-Delayed Static Neural Networks Using an Improved Delay-Product-Type LKF
H∞ State Estimation for Time-Delayed Static Neural Networks...
收藏 引用
Chinese control Conference (CCC)
作者: Yong-He Lao Yu-Long Fan Liang-Tong Luo Chuan-Ke Zhang School of Automation China University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan P. R. China
This paper is concerned with $H_{\infty}$ performance state estimation of static neural networks with a time-varying delay. First, a PI estimator with exponential term is used to estimate neuron states based on outp...
来源: 评论
Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation
收藏 引用
IFAC-PapersOnLine 2023年 第2期56卷 6168-6173页
作者: Yupeng Li Wenkai Hu Weihua Cao R. Bhushan Gopaluni Liang Cao Chao Gan Min Wu School of Automation China University of Geosciences Wuhan 430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan 430074 China Department of Chemical and Biological Engineering University of British Columbia Vancouver BC V6T 1Z3 Canada
In drilling processes, non-stationary phases corresponding to shifts between operating conditions and changes in downhole formations typically lead to false alarms. Extracting these frequent event patterns is critical... 详细信息
来源: 评论
Model-Based and Data-Driven control of Event- and Self-Triggered Discrete-Time LTI systems
arXiv
收藏 引用
arXiv 2022年
作者: Wang, Xin Berberich, Julian Sun, Jian Wang, Gang Allgöwer, Frank Chen, Jie The Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing10081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart70550 Germany The Department of Control Science and Engineering Tongji University Shanghai201804 China The State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China
The present paper considers the model-based and data-driven control of unknown linear time-invariant discretetime systems under event-triggering and self-triggering transmission schemes. To this end, we begin by prese... 详细信息
来源: 评论
Path Planning of Mobile Robot Based on an Improved Genetic Algorithm  2
Path Planning of Mobile Robot Based on an Improved Genetic A...
收藏 引用
2nd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2022
作者: Chen, Zenghua Xiong, Gang Liu, Sheng Shen, Zhen Li, Yue Institute of Automation Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China Chang'an University School of Automobile Xi'an China
In order to solve the problem of premature convergence of the basic genetic algorithm when planning the robot running path, the basic genetic algorithm is improved and optimized. Different population initialization me... 详细信息
来源: 评论
Parallel systems Framework: A Safe and Efficient Testbed for Unmanned Ships
Parallel Systems Framework: A Safe and Efficient Testbed for...
收藏 引用
Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on
作者: Long Fu Zhen Shen Xisong Dong Yunjun Han Shuguang Yang Gang Xiong Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Guangdong Engineering Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China Schoool of Rail Transportation Shandong Jiaotong University Jinan China State Key Laboratory for Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China
In this study, unmanned ships test platform based on the parallel systems framework is proposed to improve the test efficiency and accuracy of unmanned ships in complex ocean environment. The parallel intelligence the... 详细信息
来源: 评论
A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification
收藏 引用
Plant Diseases and Pests 2024年 第2期15卷 9-16页
作者: Mengmeng ZHANG Xiujuan WANG Mengzhen KANG Jing HUA Haoyu WANG Feiyue WANG State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China
In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning *** demonstrated that the training dataset has a significant impact on the training resu... 详细信息
来源: 评论
Distance- And velocity-based collision avoidance for time-varying formation control of second-order multi-agent systems
收藏 引用
IEEE Transactions on Circuits and systems II: Express Briefs 2021年 第4期68卷 1253-1257页
作者: Pang, Zhong-Hua Zheng, Chang-Bing Sun, Jian Han, Qing-Long Liu, Guo-Ping Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of Technology Beijing100144 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China School of Software and Electrical Engineering Swinburne University of Technology MelbourneVIC3122 Australia Department of Artificial Intelligence and Automation Wuhan University Wuhan430072 China
This brief addresses the time-varying formation control problem with collision avoidance for second-order multi-agent systems. By taking both distances and velocities between agents into account, a novel collision avo... 详细信息
来源: 评论