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Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1757-1776
作者:  Minfeng Qi;  Ziyuan Wang;  Qing-Long Han;  Jun Zhang;  Shiping Chen;  Yang Xiang
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：7/4  |  提交时间：2024/07/16
Blockchain  internet of healthcare things (IoHT)  privacy-preserving techniques (PPTs)  
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：39/13  |  提交时间：2024/06/07
Communication constraints  maximum correntropy filter  networked nonlinear filtering  particle filter  sample-based approximation  unscented Kalman filter  
Privacy-Preserving Consensus-Based Distributed Economic Dispatch of Smart Grids via State Decomposition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1250-1261
作者:  Wei Chen;  Guo-Ping Liu
Adobe PDF(1624Kb)  |  收藏  |  浏览/下载：94/35  |  提交时间：2024/04/10
Consensus-based DED algorithm  privacy preservation  smart grids  state decomposition  
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：51/11  |  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：69/24  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2222-2232
作者:  Juanjuan Li;  Junqing Li;  Xiao Wang;  Rui Qin;  Yong Yuan;  Fei-Yue Wang
Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：206/84  |  提交时间：2023/10/31
Auction  data trading markets  multi-blockchain  pricing mechanisms  
Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1984-1999
作者:  Feiye Zhang;  Qingyu Yang;  Dou An
Adobe PDF(3841Kb)  |  收藏  |  浏览/下载：108/59  |  提交时间：2023/09/07
Centralized training and decentralized execution  demand side management  multi-agent reinforcement learning  privacy preserving  
Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1647-1667
作者:  Li Duan;  Yangyang Sun;  Wei Ni;  Weiping Ding;  Jiqiang Liu;  Wei Wang
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：148/41  |  提交时间：2023/07/20
Blockchain  cross-chain  defense  distributed private key control  hash-locking  notary  security threats  sidechain/relay  
A Privacy-Preserving Distributed Subgradient Algorithm for the Economic Dispatch Problem in Smart Grid 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1625-1627
作者:  Qian Xu;  Chutian Yu;  Xiang Yuan;  Zao Fu;  Hongzhe Liu
Adobe PDF(1006Kb)  |  收藏  |  浏览/下载：110/39  |  提交时间：2023/06/14
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：163/60  |  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