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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：102/57  |  提交时间：2023/09/07
Centralized training and decentralized execution  demand side management  multi-agent reinforcement learning  privacy preserving  
Echo State Network With Probabilistic Regularization for Time Series Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1743-1753
作者:  Xiufang Chen;  Mei Liu;  Shuai Li
Adobe PDF(3459Kb)  |  收藏  |  浏览/下载：97/42  |  提交时间：2023/07/20
Echo state network (ESN)  noise  probabilistic regularization  robustness  
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者:  Xiaoyu Jiang;  Xiangyin Kong;  Zhiqiang Ge
Adobe PDF(25936Kb)  |  收藏  |  浏览/下载：132/42  |  提交时间：2023/05/29
Curse of dimensionality  data augmentation  data-driven modeling  industrial processes  machine learning  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：112/30  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
A Novel Obstacle Avoidance Consensus Control for Multi-AUV Formation System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1304-1318
作者:  Linling Wang;  Daqi Zhu;  Wen Pang;  Chaomin Luo
Adobe PDF(7036Kb)  |  收藏  |  浏览/下载：133/56  |  提交时间：2023/04/26
Autonomous underwater vehicle (AUV)  event-triggered control  fixed-time consensus  formation obstacle avoidance  improved artificial potential field and leader-follower strategy (IAPF-LF)  
A Fast Clustering Based Evolutionary Algorithm for Super-Large-Scale Sparse Multi-Objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1048-1063
作者:  Ye Tian;  Yuandong Feng;  Xingyi Zhang;  Changyin Sun
Adobe PDF(2003Kb)  |  收藏  |  浏览/下载：363/107  |  提交时间：2023/03/22
Evolutionary computation  fast clustering  sparse multi-objective optimization  super-large-scale optimization  
Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 969-984
作者:  Xin Gong;  Michael V. Basin;  Zhiguang Feng;  Tingwen Huang;  Yukang Cui
Adobe PDF(9350Kb)  |  收藏  |  浏览/下载：148/31  |  提交时间：2023/03/22
Composite attacks  multi-UAV systems  resilient control  time-varying formation-tracking  
Passive Attack Detection for a Class of Stealthy Intermittent Integrity Attacks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 898-915
作者:  Kangkang Zhang;  Christodoulos Keliris;  Thomas Parisini;  Bin Jiang;  Marios M. Polycarpou
Adobe PDF(2917Kb)  |  收藏  |  浏览/下载：183/55  |  提交时间：2023/03/22
Backward-in-time equivalent quantity  fixed-point smoother  intermittent integrity attacks  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：589/394  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
A Survey on Negative Transfer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 305-329
作者:  Wen Zhang;  Lingfei Deng;  Lei Zhang;  Dongrui Wu
Adobe PDF(2739Kb)  |  收藏  |  浏览/下载：266/105  |  提交时间：2023/01/16
Domain adaptation  domain similarity  negative transfer  positive transfer  transfer learning