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Towards Domain-agnostic Depth Completion 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 652-669
作者:  Guangkai Xu;   Wei Yin;   Jianming Zhang;   Oliver Wang;  Simon Niklaus;   Simon Chen;   Jia-Wang Bian
Adobe PDF(17196Kb)  |  收藏  |  浏览/下载：19/5  |  提交时间：2024/07/18
Monocular depth estimation  depth completion  zero-shot generalization  scene reconstruction  neural network  
Prescribed Performance Tracking Control of Time-Delay Nonlinear Systems With Output Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1557-1565
作者:  Jin-Xi Zhang;  Kai-Di Xu;  Qing-Guo Wang
Adobe PDF(2229Kb)  |  收藏  |  浏览/下载：52/20  |  提交时间：2024/06/07
Nonlinear systems  output constraints  prescribed performance  reference tracking  time delays  
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:  Yu Xi;  Ke Zhou;  Ling-Wen Meng;  Bo Chen;  Hao-Min Chen;  Jing-Yi Zhang
Adobe PDF(18337Kb)  |  收藏  |  浏览/下载：59/15  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：79/20  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control  
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：65/21  |  提交时间：2024/04/10
Adaptive sliding mode observer (ASMO)  dynamic surface control  prescribed performance evolution control (PPEC)  quadrotor  shipboard landing  
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361
作者:  Yunfeng Hu;  Chong Zhang;  Bo Wang;  Jing Zhao;  Xun Gong;  Jinwu Gao;  Hong Chen
Adobe PDF(15857Kb)  |  收藏  |  浏览/下载：126/28  |  提交时间：2024/01/23
Adaptive control  control system synthesis  data-driven iterative learning control  neurocontroller  nonlinear discrete time systems  
Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 329-343
作者:  Yijing Xie;  Yichen Zhang;  Wei-Jen Lee;  Zongli Lin;  Yacov A. Shamash
Adobe PDF(798Kb)  |  收藏  |  浏览/下载：144/67  |  提交时间：2024/01/23
Climate change  renewable energy resources  resilience  smart grids  virtual power plants (VPPs)  
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载：308/171  |  提交时间：2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：316/203  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)  
A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1288-1303
作者:  Chaoxu Mu;  Yong Zhang;  Guangbin Cai;  Ruijun Liu;  Changyin Sun
Adobe PDF(4205Kb)  |  收藏  |  浏览/下载：262/118  |  提交时间：2023/04/26
Data episodes  experience replay  neural networks  reinforcement learning (RL)  uncertain systems