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| Asynchronous learning-based output feedback sliding mode control for semi-Markov jumpsystems: A descriptor approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1358-1369 作者: Zheng Wu; Yiyun Zhao; Fanbiao Li; Tao Yang; Yang Shi; Weihua Gui Adobe PDF(2638Kb)  |  收藏  |  浏览/下载:16/4  |  提交时间:2024/05/22 Asynchronous switching learning-based control output feedback semi-Markovian jump systems sliding mode control (SMC) |
| 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:56/15  |  提交时间:2024/04/10 Consensus-based DED algorithm privacy preservation smart grids state decomposition |
| Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 734-745 作者: Yi Zheng; Yanye Wang; Xun Meng; Shaoyuan Li; Hao Chen Adobe PDF(3523Kb)  |  收藏  |  浏览/下载:73/24  |  提交时间:2024/02/19 Distributed model predictive control (DMPC) Lyapunov-based model predictive control micro-grid (MG) voltage control |
| Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 329-343 作者: Yijing Xie; Yichen Zhang; Wei-Jen Lee; Zongli Lin; Yacov A. Shamash Adobe PDF(798Kb)  |  收藏  |  浏览/下载:78/31  |  提交时间:2024/01/23 Climate change renewable energy resources resilience smart grids virtual power plants (VPPs) |
| Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291 作者: Zefeng Zheng; Luyao Teng; Wei Zhang; Naiqi Wu; Shaohua Teng Adobe PDF(15412Kb)  |  收藏  |  浏览/下载:122/25  |  提交时间:2023/10/31 Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation |
| Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691 作者: Xinya Wang; Qian Hu; Yingsong Cheng; Jiayi Ma Adobe PDF(22541Kb)  |  收藏  |  浏览/下载:94/20  |  提交时间:2023/07/20 Deep learning hyperspectral image image fusion image super-resolution survey |
| 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:175/78  |  提交时间:2023/06/14 Consensus energy management system (EMS) reinforcement learning supervised learning |
| Group-Consensus of Hierarchical Containment Control for Linear Multi-Agent Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1462-1474 作者: Jingshu Sang; Dazhong Ma; Yu Zhou Adobe PDF(37488Kb)  |  收藏  |  浏览/下载:115/37  |  提交时间:2023/05/29 Group-consensus behavior hierarchical containment control linear multi-agent systems three-layer topology |
| Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1407-1420 作者: Dan Zhang; Qiusheng Lian; Yueming Su; Tengfei Ren Adobe PDF(35567Kb)  |  收藏  |  浏览/下载:73/23  |  提交时间:2023/05/29 Dual prior image reconstruction multi-agent consensus equilibrium (MACE) quanta image sensors (QIS) |
| 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:98/29  |  提交时间:2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |