中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共319条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1292-1294
作者:  Kaiyuan Chen;  Runqi Chai;  Runda Zhang;  Zhida Xing;  Yuanqing Xia;  Guoping Liu
Adobe PDF(854Kb)  |  收藏  |  浏览/下载：29/9  |  提交时间：2024/04/10
Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238
作者:  Qinchen Yang;  Fukai Zhang;  Cong Wang
Adobe PDF(4415Kb)  |  收藏  |  浏览/下载：16/6  |  提交时间：2024/04/10
Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators  
Observer-Based Adaptive Robust Precision Motion Control of a Multi-Joint Hydraulic Manipulator 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1213-1226
作者:  Zheng Chen;  Shizhao Zhou;  Chong Shen;  Litong Lyu;  Junhui Zhang;  Bin Yao
Adobe PDF(4624Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/04/10
Hydraulic manipulator  nonlinear adaptive observer  parameter adaptation  robust control  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：22/4  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1151-1162
作者:  Yang Yuan;  Haibin Duan;  Zhigang Zeng
Adobe PDF(5858Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/04/10
Adaptive sliding mode observer (ASMO)  dynamic surface control  prescribed performance evolution control (PPEC)  quadrotor  shipboard landing  
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150
作者:  Qian Hu;  Jiayi Ma;  Yuan Gao;  Junjun Jiang;  Yixuan Yuan
Adobe PDF(10937Kb)  |  收藏  |  浏览/下载：16/1  |  提交时间：2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1127-1138
作者:  Shaoying Wang;  Zidong Wang;  Hongli Dong;  Yun Chen;  Guoping Lu
Adobe PDF(1874Kb)  |  收藏  |  浏览/下载：13/5  |  提交时间：2024/04/10
Dynamic event-triggered scheme  missing measurements  multiplicative noises (MNs)  non-Gaussian noises  quadratic filter  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：12/2  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105
作者:  MengChu Zhou;  Meiji Cui;  Dian Xu;  Shuwei Zhu;  Ziyan Zhao;  Abdullah Abusorrah
Adobe PDF(2100Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/10
Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback