CASIA OpenIR

浏览/检索结果: 共118条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Tutorial on Quantized Feedback Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 5-17
作者:  Minyue Fu
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载:166/117  |  提交时间:2024/01/02
Consensus control  high-precision control  networked control  quantized estimation  quantized feedback control  robust control  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载:17/4  |  提交时间:2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 673-689
作者:  Cong Pan;  Junran Peng;  Zhaoxiang Zhang
Adobe PDF(37784Kb)  |  收藏  |  浏览/下载:45/18  |  提交时间:2024/02/19
Monocular 3D object detection  normalizing flows  Swin Transformer  
Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 734-745
作者:  Yi Zheng;  Yanye Wang;  Xun Meng;  Shaoyuan Li;  Hao Chen
Adobe PDF(3523Kb)  |  收藏  |  浏览/下载:54/20  |  提交时间:2024/02/19
Distributed model predictive control (DMPC)  Lyapunov-based model predictive control  micro-grid (MG)  voltage control  
Dynamic Constraint-Driven Event-Triggered Control of Strict-Feedback Systems Without Max/Min Values on Irregular Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 569-580
作者:  Zhuwu Shao;  Yujuan Wang;  Zeqiang Li;  Yongduan Song
Adobe PDF(2514Kb)  |  收藏  |  浏览/下载:29/9  |  提交时间:2024/02/19
Adaptive control  dynamic constraint-driven event-triggered control  irregular output constraints  nonlinear strict-feedback systems  
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:17/5  |  提交时间:2024/04/10
Hydraulic manipulator  nonlinear adaptive observer  parameter adaptation  robust control  
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:14/5  |  提交时间:2024/04/10
Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators  
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:10/1  |  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  
Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:37/13  |  提交时间:2024/01/23
Process control  process systems engineering  reinforcement learning