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| Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680 作者: Bingrong Xu; Jianhua Yin; Cheng Lian; Yixin Su; Zhigang Zeng Adobe PDF(3368Kb)  |  收藏  |  浏览/下载:27/13  |  提交时间:2024/06/07 Domain adaptation low-rank constraint noise corruption optimal transport |
| Distributed Optimal Variational GNE Seeking in Merely Monotone Games 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1621-1630 作者: Wangli He; Yanzhen Wang Adobe PDF(2076Kb)  |  收藏  |  浏览/下载:15/8  |  提交时间:2024/06/07 Distributed algorithms equilibria selection generalized Nash equilibrium (GNE) merely monotone games |
| 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:24/8  |  提交时间:2024/06/07 Communication constraints maximum correntropy filter networked nonlinear filtering particle filter sample-based approximation unscented Kalman filter |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:60/14  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| 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:66/29  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Even Search in a Promising Region for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 474-486 作者: Fei Ming; Wenyin Gong; Yaochu Jin Adobe PDF(1847Kb)  |  收藏  |  浏览/下载:73/35  |  提交时间:2024/01/23 Constrained multi-objective optimization even search evolutionary algorithms promising region real-world problems |
| 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:108/49  |  提交时间:2024/01/23 Climate change renewable energy resources resilience smart grids virtual power plants (VPPs) |
| Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169 作者: Rui Wang; Zhiming Zhou; Kaiwen Li; Tao Zhang; Ling Wang; Xin Xu; Xiangke Liao Adobe PDF(1841Kb)  |  收藏  |  浏览/下载:277/174  |  提交时间:2024/01/02 Branch-and-bound (B&B) combinatorial optimization deep learning graph neural network imitation learning |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:288/194  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |
| Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1704-1715 作者: Syed Ali Asad Rizvi; Amanda J. Pertzborn; Zongli Lin Adobe PDF(4532Kb)  |  收藏  |  浏览/下载:167/70  |  提交时间:2023/07/20 HVAC control optimal tracking Q-learning reinforcement learning (RL) |