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Learning Robust Communication by Adversarial Training in Networked System Control 期刊论文
Lecture Notes in Electrical Engineering, 2024, 页码: Chapter 52 978-981-97-3335-4
作者:  Runji, Lin;  Haifeng, Zhang
Adobe PDF(8334Kb)  |  收藏  |  浏览/下载：9/1  |  提交时间：2024/06/11
Networked System Control  Robustness  Communicative Multi-Agent Reinforcement Learning  
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：7/2  |  提交时间：2024/06/07
Communication constraints  maximum correntropy filter  networked nonlinear filtering  particle filter  sample-based approximation  unscented Kalman filter  
A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1424-1437
作者:  Quanbo Ge;  Yang Cheng;  Hong Li;  Ziyi Ye;  Yi Zhu;  Gang Yao
Adobe PDF(2544Kb)  |  收藏  |  浏览/下载：24/9  |  提交时间：2024/05/22
Curve similarity matching  Gaussian-like noise  non-parametric scheme  parzen window  
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:  Kai Zhang;  Yawei Li;  Jingyun Liang;  Jiezhang Cao;  Yulun Zhang;  Hao Tang;  Deng-Ping Fan;  Radu Timofte;  Luc Van Gool
Adobe PDF(7952Kb)  |  收藏  |  浏览/下载：16/5  |  提交时间：2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline  
Quantization and Event-Triggered Policy Design for Encrypted Networked Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 946-955
作者:  Yongxia Shi;  Ehsan Nekouei
Adobe PDF(1715Kb)  |  收藏  |  浏览/下载：38/10  |  提交时间：2024/03/18
Cyber-security  encrypted control  event-triggered control (ETC)  networked control systems (NCSs)  semi-homomorphic encryption  
Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 723-733
作者:  Xiongbo Wan;  Chaoling Zhang;  Fan Wei;  Chuan-Ke Zhang;  Min Wu
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：69/27  |  提交时间：2024/02/19
Dynamic event-triggered mechanism (DETM)  hybrid dynamic variables  model predictive control (MPC)  robust positive invariant (RPI) set  T-S fuzzy systems  
Sparse Reconstructive Evidential Clustering for Multi-View Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 459-473
作者:  Chaoyu Gong;  Yang You
Adobe PDF(1769Kb)  |  收藏  |  浏览/下载：69/37  |  提交时间：2024/01/23
Evidence theory  multi-view clustering (MVC)  optimization  sparse reconstruction  
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：70/16  |  提交时间：2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning 期刊论文
Neural Networks, 2023, 卷号: 164, 页码: 38-48
作者:  Fei Zhu;  Zhen Cheng;  Xu-Yao Zhang;  Cheng-Lin Liu
Adobe PDF(1251Kb)  |  收藏  |  浏览/下载：151/33  |  提交时间：2023/09/12
Class incremental learning  Continual learning  Lifelong learning  
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载：142/55  |  提交时间：2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning