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Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680
作者:  Bingrong Xu;  Jianhua Yin;  Cheng Lian;  Yixin Su;  Zhigang Zeng
Adobe PDF(3368Kb)  |  收藏  |  浏览/下载：27/13  |  提交时间：2024/06/07
Domain adaptation  low-rank constraint  noise corruption  optimal transport  
Self-Triggered Set Stabilization of Boolean Control Networks and Its Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1631-1642
作者:  Rong Zhao;  Jun-e Feng;  Dawei Zhang
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：19/9  |  提交时间：2024/06/07
Boolean control networks (BCNs)  output regulation  self-triggered control  semi-tensor product of matrices  set stabilization  synchronization  
Neural Dynamics for Cooperative Motion Control of Omnidirectional Mobile Manipulators in the Presence of Noises: A Distributed Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1605-1620
作者:  Yufeng Lian;  Xingtian Xiao;  Jiliang Zhang;  Long Jin;  Junzhi Yu;  Zhongbo Sun
Adobe PDF(6691Kb)  |  收藏  |  浏览/下载：19/7  |  提交时间：2024/06/07
Cooperative motion control  noise-tolerant zeroing neural network (NTZNN)  omnidirectional mobile manipulator (OMM)  repetitive motion planning  
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载：23/7  |  提交时间：2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1539-1556
作者:  Weihao Song;  Zidong Wang;  Zhongkui Li;  Jianan Wang;  Qing-Long Han
Adobe PDF(1858Kb)  |  收藏  |  浏览/下载：25/8  |  提交时间：2024/06/07
Communication constraints  maximum correntropy filter  networked nonlinear filtering  particle filter  sample-based approximation  unscented Kalman filter  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载：25/5  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
State-Based Opacity Verification of Networked Discrete Event Systems Using Labeled Petri Nets 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1274-1291
作者:  Yifan Dong;  Naiqi Wu;  Zhiwu Li
Adobe PDF(7338Kb)  |  收藏  |  浏览/下载：67/24  |  提交时间：2024/04/10
Labeled Petri net  multi-valued decision diagram  networked discrete event system  state-based opacity  
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：54/17  |  提交时间：2024/04/10
Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators  
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：49/6  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
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：43/3  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning