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| 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：20/6 | 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：33/12 | 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：43/22 | 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：52/12 | 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：122/26 | 提交时间：2023/09/12
Class incremental learning Continual learning Lifelong learning |
| Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1192-1208
作者: Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu; Yilong Yin; Wenguan Wang
Adobe PDF(42794Kb) | 收藏 | 浏览/下载：79/23 | 提交时间：2023/04/26
Embedding learning generative model normalizing flows video instance segmentation (VIS) |
| Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems: Survey and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 330-350
作者: Jianming Zhan; Jiajia Wang; Weiping Ding; Yiyu Yao
Adobe PDF(1830Kb) | 收藏 | 浏览/下载：160/60 | 提交时间：2023/01/16
Hesitant fuzzy information system (HFIS) prospect theory regret theory three-way decision (T-WD) |
| A Novel Adaptive Kalman Filter Based on Credibility Measure 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 103-120
作者: Quanbo Ge; Xiaoming Hu; Yunyu Li; Hongli He; Zihao Song
Adobe PDF(2653Kb) | 收藏 | 浏览/下载：134/37 | 提交时间：2023/01/03
Credibility expectation maximization-particle swarm optimization method (EM-PSO) filter calculated mean square errors (MSE) inaccurate models Kalman filter Sage-Husa true MSE (TMSE) |
| 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：86/28 | 提交时间：2023/05/29
Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| 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：119/25 | 提交时间：2023/03/22
Composite attacks multi-UAV systems resilient control time-varying formation-tracking |
