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| Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604 作者: Kun Jiang; Wenzhang Liu; Yuanda Wang; Lu Dong; Changyin Sun Adobe PDF(2128Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2024/06/07 Latent variable model maximum entropy multi-agent reinforcement learning (MARL) multi-agent system |
| 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:2/2  |  提交时间:2024/06/07 Communication constraints maximum correntropy filter networked nonlinear filtering particle filter sample-based approximation unscented Kalman filter |
| Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330 作者: Jiaxin Ren; Jingcheng Wen; Zhibin Zhao; Ruqiang Yan; Xuefeng Chen; Asoke K. Nandi Adobe PDF(16165Kb)  |  收藏  |  浏览/下载:9/2  |  提交时间:2024/05/22 Out-of-distribution detection traceability analysis trustworthy fault diagnosis uncertainty quantification |
| Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1239-1249 作者: Ke Li; Shunyi Zhao; Biao Huang; Fei Liu Adobe PDF(1988Kb)  |  收藏  |  浏览/下载:33/10  |  提交时间:2024/04/10 Bayesian estimation error compensation high-dimensional systems state estimation state partition |
| Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1127-1138 作者: Shaoying Wang; Zidong Wang; Hongli Dong; Yun Chen; Guoping Lu Adobe PDF(1874Kb)  |  收藏  |  浏览/下载:26/6  |  提交时间:2024/04/10 Dynamic event-triggered scheme missing measurements multiplicative noises (MNs) non-Gaussian noises quadratic filter |
| Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126 作者: Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing-Long Han Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:26/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| 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:24/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:47/23  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:43/19  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877 作者: Elham Javanfar; Mehdi Rahmani Adobe PDF(1291Kb)  |  收藏  |  浏览/下载:36/10  |  提交时间:2024/03/18 Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering |