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Efficient constraint learning for data-driven active distribution network operation Journal article
Ge Chen, Hongcai Zhang, Yonghua Song. Efficient constraint learning for data-driven active distribution network operation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1472-1484.
Authors:  Ge Chen;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:6.5/7.4 | Submit date：2023/07/12
Active Distribution Networks  Deep Learning  Renewable Generation  Optimal Power Flow  Flexible Sources  
Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data Journal article
Yonghua Song, Ge Chen, Hongcai Zhang. Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1), 51-65.
Authors:  Yonghua Song;  Ge Chen;  Hongcai Zhang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.9 | Submit date：2024/04/24
Deep Learning  Demand Response  Distribution Networks  Imbalanced Data  Optimal Power Flow  
Active learning aided Bayesian nonparametric general regression for model updating using modal data Journal article
Zhang, Wen Jing, Yuen, Ka Veng, Yan, Wang Ji. Active learning aided Bayesian nonparametric general regression for model updating using modal data[J]. Mechanical Systems and Signal Processing, 2023, 204, 110830.
Authors:  Zhang, Wen Jing;  Yuen, Ka Veng;  Yan, Wang Ji
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/01/02
Active Learning  General Regression  Model Updating  Nonparametric Mapping  Shared Optimal Scaling Parameter  
Self-Paced Hard Task-Example Mining for Few-Shot Classification Journal article
Xu, Renjie, Yang, Xinghao, Yao, Xingxing, Tao, Dapeng, Cao, Weijia, Lu, Xiaoping, Liu, Weifeng. Self-Paced Hard Task-Example Mining for Few-Shot Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(10), 5631-5644.
Authors:  Xu, Renjie;  Yang, Xinghao;  Yao, Xingxing;  Tao, Dapeng;  Cao, Weijia; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:8.3/7.1 | Submit date：2023/11/01
Curriculum Learning  Few-shot Learning  Hard Example Mining  Optimal Transport  Task Measuring  
Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation Journal article
Yang, Yongliang, Kiumarsi, Bahare, Modares, Hamidreza, Xu, Chengzhong. Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(2), 635-649.
Authors:  Yang, Yongliang;  Kiumarsi, Bahare;  Modares, Hamidreza;  Xu, Chengzhong
Favorite | TC[WOS]:116 TC[Scopus]:112  IF:10.2/10.4 | Submit date：2023/03/06
Algebraic Riccati Equation (Are)  Fixed-point Theory  Off-policy Reinforcement Learning (Rl)  Optimal Control  
Asymptotic normality and confidence region for Catoni's Z estimator Journal article
Qiuran Yao, Huiming Zhang. Asymptotic normality and confidence region for Catoni's Z estimator[J]. Stat, 2022, 11(1), e495.
Authors:  Qiuran Yao;  Huiming Zhang
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0.7/1.2 | Submit date：2023/02/27
Central Limit Theory  Confidence Interval  Optimal Variance  Robust Statistical Learning  
Optimal consensus of a class of discrete-time linear multi-agent systems via value iteration with guaranteed admissibility Journal article
Li, Pingchuan, Zou, Wencheng, Guo, Jian, Xiang, Zhengrong. Optimal consensus of a class of discrete-time linear multi-agent systems via value iteration with guaranteed admissibility[J]. Neurocomputing, 2022, 516, 1-10.
Authors:  Li, Pingchuan;  Zou, Wencheng;  Guo, Jian;  Xiang, Zhengrong
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:5.5/5.5 | Submit date：2023/02/08
Multi-agent System  Optimal Consensus  Reinforcement Learning  Value Iteration  
Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics Journal article
Yang,Yongliang, Gao,Weinan, Modares,Hamidreza, Xu,Cheng Zhong. Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics[J]. IEEE Transactions on Fuzzy Systems, 2021.
Authors:  Yang,Yongliang;  Gao,Weinan;  Modares,Hamidreza;  Xu,Cheng Zhong
Favorite | TC[WOS]:98 TC[Scopus]:113  IF:10.7/9.7 | Submit date：2021/05/31
Fuzzy Logic  Heuristic Algorithms  Input-to-state Stability  Nonlinear Dynamical Systems  Optimal Control  Optimal Control  Power System Dynamics  Robust Actor-critic Learning  Stability Criteria  Uncertainty  Unmodeled Dynamics  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
Liu, Yan-Jun, Li, Shu, Tong, Shaocheng, Chen, C. L. Philip. Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30(1), 295-305.
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite | TC[WOS]:90 TC[Scopus]:97  IF:10.2/10.4 | Submit date：2019/01/17
Discrete-time Systems  Neural Networks (Nns)  Nonlinear Systems  Optimal Control  Reinforcement Learning  
Global Optimal Locally Weighted Learning-Based Identification Modeling for Azimuth Stern Drive Tug Manoeuvring Conference paper
Bai, Weiwei, Ren, Junsheng, Che, Chuan, Li, Tieshan, Chen, C. L. Philip, Sun, F, Liu, H, Hu, D. Global Optimal Locally Weighted Learning-Based Identification Modeling for Azimuth Stern Drive Tug Manoeuvring[C], HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SPRINGER-VERLAG BERLIN, 2017, 576-583.
Authors:  Bai, Weiwei;  Ren, Junsheng;  Che, Chuan;  Li, Tieshan;  Chen, C. L. Philip; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/10/30
Locally Weighted Learning (Lwl)  Identification Modeling  Azimuth Stern Drive Tug  Global Optimal