咨询与建议

限定检索结果

文献类型

  • 716 篇 会议

馆藏范围

  • 716 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 324 篇 工学
    • 186 篇 计算机科学与技术...
    • 180 篇 控制科学与工程
    • 168 篇 软件工程
    • 46 篇 机械工程
    • 41 篇 电气工程
    • 29 篇 信息与通信工程
    • 26 篇 交通运输工程
    • 21 篇 生物医学工程(可授...
    • 16 篇 电子科学与技术(可...
    • 16 篇 航空宇航科学与技...
    • 14 篇 光学工程
    • 13 篇 石油与天然气工程
    • 11 篇 安全科学与工程
    • 10 篇 动力工程及工程热...
    • 10 篇 土木工程
    • 10 篇 船舶与海洋工程
    • 10 篇 生物工程
    • 9 篇 仪器科学与技术
    • 9 篇 建筑学
    • 9 篇 化学工程与技术
  • 148 篇 理学
    • 83 篇 数学
    • 57 篇 系统科学
    • 20 篇 统计学(可授理学、...
    • 17 篇 物理学
    • 11 篇 生物学
  • 28 篇 管理学
    • 22 篇 管理科学与工程(可...
    • 10 篇 图书情报与档案管...
    • 9 篇 工商管理
  • 9 篇 医学
    • 9 篇 基础医学(可授医学...
    • 9 篇 临床医学
  • 4 篇 经济学
  • 4 篇 教育学
  • 4 篇 农学
  • 3 篇 法学
  • 2 篇 军事学
  • 1 篇 文学

主题

  • 179 篇 learning systems
  • 83 篇 control systems
  • 67 篇 accuracy
  • 59 篇 simulation
  • 53 篇 adaptation model...
  • 50 篇 predictive model...
  • 48 篇 data models
  • 40 篇 training
  • 36 篇 process control
  • 34 篇 stability analys...
  • 34 篇 heuristic algori...
  • 32 篇 uncertainty
  • 29 篇 neural networks
  • 29 篇 numerical simula...
  • 29 篇 feature extracti...
  • 28 篇 observers
  • 26 篇 adaptive systems
  • 25 篇 reinforcement le...
  • 24 篇 noise
  • 22 篇 deep learning

机构

  • 24 篇 school of electr...
  • 14 篇 school of mathem...
  • 12 篇 school of electr...
  • 12 篇 school of automa...
  • 11 篇 faculty of infor...
  • 9 篇 college of contr...
  • 9 篇 kunming universi...
  • 9 篇 college of contr...
  • 8 篇 college of artif...
  • 8 篇 school of artifi...
  • 8 篇 college of artif...
  • 8 篇 faculty of mecha...
  • 8 篇 beijing key labo...
  • 8 篇 yunnan key labor...
  • 8 篇 school of electr...
  • 7 篇 school of automa...
  • 7 篇 college of infor...
  • 7 篇 state key labora...
  • 6 篇 school of electr...
  • 6 篇 school of automa...

作者

  • 18 篇 wang li
  • 18 篇 li wang
  • 11 篇 deqing huang
  • 11 篇 ji honghai
  • 11 篇 liu shida
  • 11 篇 shida liu
  • 11 篇 honghai ji
  • 10 篇 huang deqing
  • 8 篇 darong huang
  • 7 篇 xiaoli li
  • 6 篇 kang wang
  • 6 篇 feng li
  • 6 篇 song zhihuan
  • 6 篇 ruikun zhang
  • 6 篇 zhou zhou
  • 5 篇 ye ren
  • 5 篇 fan lingling
  • 5 篇 liu yang
  • 5 篇 ren ye
  • 5 篇 zengqiang chen

语言

  • 632 篇 英文
  • 84 篇 其他
检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"
716 条 记 录,以下是301-310 订阅
排序:
RBFNN-Based Event-Triggered data-driven Formation control for a Connected Heterogeneous Vehicle Platoon
RBFNN-Based Event-Triggered Data-Driven Formation Control fo...
收藏 引用
data driven control and learning systems (ddcls)
作者: Panpan Zhu Shangtai Jin Chenkun Yin School of Electronic and Information Engineering Beijing Jiaotong University Beijing China
this paper presents a novel distributed data-driven control scheme for the longitudinal formation control of a connected heterogeneous vehicle (CHV) platoon. Initially, an event-triggered mechanism is devised to allev... 详细信息
来源: 评论
Robust Adaptive control for Robotic Manipulator with Output Constraints
Robust Adaptive Control for Robotic Manipulator with Output ...
收藏 引用
data driven control and learning systems (ddcls)
作者: Lei Chen Xiangbin Liu Lang Zou Min Zhang School of Automation and Intelligence Beijing Jiaotong University Beijing China
this paper investigates the control problem of robotic manipulator subjected to uncertain dynamics and output constraints. the robotic manipulator system is described as a Lagrangian system with parameterized uncertai... 详细信息
来源: 评论
Smart Soil Monitoring System With Crop and Fertilizer Recommendation Features  13
Smart Soil Monitoring System With Crop and Fertilizer Recomm...
收藏 引用
13th ieee International conference on Communication systems and Network Technologies, CSNT 2024
作者: Saha, Gourab Suvo, Shabbir Hoshen Tonmoy, Farhan Tanjim Asad, Jiad Bin Imran, Mohammed thushar Azad, Akm Abdul Malek Brac University Department of Eee Dhaka Bangladesh Brac University Control & Applications Research Center Department of Eee Dhaka Bangladesh
this paper represents the design of a portable and IoT based device for monitoring nitrogen, phosphorus, potassium, pH, and moisture of soil, along with surrounding temperature and humidity, for crops and fertilizer r... 详细信息
来源: 评论
data-driven Deadbeat control for Energy Storage systems
Data-Driven Deadbeat Control for Energy Storage Systems
收藏 引用
data driven control and learning systems (ddcls)
作者: Yanyu Zhang Pengpeng Li Shun Zhou Xibeng Zhang Yi Zhou School of Artificial Intelligence Henan University Zhengzhou P. R. China Longzihu New energy Laboratory Zhengzhou P. R. China
In recent years, Deadbeat control (DBC) has gained recognition as an effective method for controlling Energy Storage systems (ESS). However, traditional DBC often exhibits substantial steady-state errors attributed to... 详细信息
来源: 评论
IoT Network Security with PCA and Deep learning for Unmasking Anomalies  13
IoT Network Security with PCA and Deep Learning for Unmaskin...
收藏 引用
13th ieee International conference on Communication systems and Network Technologies, CSNT 2024
作者: Geo Francis, E. Sheeja, S. Antony John, E.F. Joseph, Jismy Karpagam Academy of Higher Education Dept. of Computer Science Tamil Nadu Coimbatore India Dept. of Mathematics Kerala Thrissur India Dept. of Mathematics Kerala Mala India
the rapid proliferation of Internet of things (IoT) devices has revolutionized various domains, introducing unprecedented convenience and efficiency. However, this expansion has concurrently intensified the obstacles ... 详细信息
来源: 评论
Dissipative Consensus via ILC of Singular Multiagent systems
Dissipative Consensus via ILC of Singular Multiagent Systems
收藏 引用
data driven control and learning systems (ddcls)
作者: Meiyu Zhang Senping Tian Panpan Gu Xiangyang Li School of Automation Science and Engineering South China University of Technology Guangzhou China School of Electrical Engineering and Automation Hefei University of Technology Hefei China
In this paper, the problem of dissipative consensus iterative learning control (ILC) is studied for singular multiagent systems (MASs). Firstly, a novel ILC algorithm is designed for such singular MASs. then, under a ... 详细信息
来源: 评论
Vehicle Formation control Based on Model-Free Adaptive Iterative learning
Vehicle Formation Control Based on Model-Free Adaptive Itera...
收藏 引用
data driven control and learning systems (ddcls)
作者: Ye Ren Yongqiang Xie Li Wang Honghai Ji School of Electronics & Control Engineering North China University of Technology Beijing
In this paper, a vehicle formation control method based on model-free adaptive iterative learning is proposed for vehicles with the same turn at a road intersection. At road intersections, inconsistencies in speed and... 详细信息
来源: 评论
Gaussian Reinforcement learning: Optimal Tracking control for Uncertain Linear systems
Gaussian Reinforcement Learning: Optimal Tracking Control fo...
收藏 引用
data driven control and learning systems (ddcls)
作者: Yiqing Gang Jinna Li School of Information and Control Engineering Liaoning Petrochemical University Fushun China
In this paper, a design method for PID control based on Gaussian reinforcement learning is proposed to find the optimal policy for linear quadratic tracking of an unknown system. Firstly, the mathematical model of the... 详细信息
来源: 评论
Optimal control of Stochastic systems with Wiener and Poisson Noise based on data-driven Approach
Optimal Control of Stochastic Systems with Wiener and Poisso...
收藏 引用
data driven control and learning systems (ddcls)
作者: Zhiguo Yan Guocui Chen Guolin Hu School of Information and Automation Qilu University of Technology (Shandong Academy of Sciences) Jinan P. R. China
In this paper, we investigate the optimal control problem pertaining to a specific class of continuous-time stochastic systems that incorporate both Wiener and Poisson noise. Firstly, a data-driven strategy iteration ... 详细信息
来源: 评论
A Novel Hyperbolic-Secant Reaching Law of Discrete-Time Sliding Mode control
A Novel Hyperbolic-Secant Reaching Law of Discrete-Time Slid...
收藏 引用
data driven control and learning systems (ddcls)
作者: Guoliang Zhou Lingwei Wu School of Intelligent Manufacture Lishui Vocational and Technical College Lishui China School of Intelligent Manufacture Taizhou University Taizhou China
In this paper, a hyperbolic-secant reaching law-based sliding mode control method is presented for uncertain discrete-time controlled systems. the hyperbolic-secant reaching law based on the hyperbolic-secant function... 详细信息
来源: 评论