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Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2292-2299
作者:  Meng Yao;  Guoliang Wei
Adobe PDF(1200Kb)  |  收藏  |  浏览/下载：91/34  |  提交时间：2023/10/31
Dynamic event-triggered mechanisms  input-to-state stability  networked impulsive systems  random impulses  
Distributed Adaptive Resource Allocation: An Uncertain Saddle-Point Dynamics Viewpoint 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2209-2221
作者:  Dongdong Yue;  Simone Baldi;  Jinde Cao;  Qi Li;  Bart De Schutter
Adobe PDF(5043Kb)  |  收藏  |  浏览/下载：54/9  |  提交时间：2023/10/31
Adaptive systems  directed graphs  resource allocation  saddle-point dynamics  
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：80/41  |  提交时间：2023/09/07
Centralized training and decentralized execution  demand side management  multi-agent reinforcement learning  privacy preserving  
Scheduling a Single-Arm Multi-Cluster Tool With a Condition-Based Cleaning Operation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1965-1983
作者:  Qinghua Zhu;  Hongpeng Li;  Cong Wang;  Yan Hou
Adobe PDF(2283Kb)  |  收藏  |  浏览/下载：93/34  |  提交时间：2023/09/07
Chamber cleaning  multi-cluster tools  scheduling  semiconductor manufacturing  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：97/31  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
Innovative Services for Electric Mobility Based on Virtual Sensors and Petri Nets 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1845-1859
作者:  Agostino Marcello Mangini;  Michele Roccotelli
Adobe PDF(4217Kb)  |  收藏  |  浏览/下载：117/36  |  提交时间：2023/08/10
Charge point booking  electric mobility  EV charging  Petri Net  virtual sensor  
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:  Yanlu Gong;  Junhai Zhou;  Quanwang Wu;  MengChu Zhou;  Junhao Wen
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：89/48  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
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：107/24  |  提交时间：2023/07/20
Blockchain  cross-chain  defense  distributed private key control  hash-locking  notary  security threats  sidechain/relay  
Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1513-1529
作者:  Aditya Joshi;  Skieler Capezza;  Ahmad Alhaji;  Mo-Yuen Chow
Adobe PDF(4919Kb)  |  收藏  |  浏览/下载：167/77  |  提交时间：2023/06/14
Consensus  energy management system (EMS)  reinforcement learning  supervised 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：131/51  |  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