中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/22
Adaptive Leader-Follower Consensus Control of Multiple Flexible Manipulators With Actuator Failures and Parameter Uncertainties 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1020-1031
作者:  Yu Liu;  Lin Li
Adobe PDF(2935Kb)  |  收藏  |  浏览/下载：126/48  |  提交时间：2023/03/22
Actuator failures  leader-follower consensus  multiple flexible manipulators  neural network  parameter uncertainties  
Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2071-2078
作者:  Yutong Wang;  Yonglin Tian;  Jiangong Wang;  Yansong Cao;  Shixing Li;  Bin Tian
Adobe PDF(1477Kb)  |  收藏  |  浏览/下载：216/85  |  提交时间：2022/12/02
Automated Optical Inspection  Metaverses  Quality Inspection  Transformers  
Distributed Resource Allocation via Accelerated Saddle Point Dynamics 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1588-1599
作者:  Wen-Ting Lin;  Yan-Wu Wang;  Chaojie Li;  Xinghuo Yu
Adobe PDF(1568Kb)  |  收藏  |  浏览/下载：120/47  |  提交时间：2021/09/03
Accelerated saddle point dynamic  distributed resource allocation  hyper-exponential stability  power dispatch  
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
作者:  Shiming Liu;  Yifan Xia;  Zhusheng Shi;  Hui Yu;  Zhiqiang Li;  Jianguo Lin
Adobe PDF(6784Kb)  |  收藏  |  浏览/下载：222/57  |  提交时间：2021/04/09
Data-driven deep learning  deep learning  deep neural network (DNN)  intelligent manufacturing  machine learning  sheet metal forming  springback  theory-guided deep learning  theory-guided regularization