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An improved gain-scheduling robust MPC for path following of autonomous independent-drive electric vehicles with time-varying and uncertainties Journal article
Xie, Zhengchao, Li, Shuang, Wong, Pak Kin, Li, Wenfeng, Zhao, Jing. An improved gain-scheduling robust MPC for path following of autonomous independent-drive electric vehicles with time-varying and uncertainties[J]. Vehicle System Dynamics, 2024.
Authors:  Xie, Zhengchao;  Li, Shuang;  Wong, Pak Kin;  Li, Wenfeng;  Zhao, Jing
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.5/4.2 | Submit date：2024/07/04
Autonomous Independent-drive Electric Vehicles  Direct Yaw Moment Control  Gain-scheduling  Path Following  Robust Model Predictive Control  
Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid Journal article
Li, Hui, Wu, Qiuwei, Yang, Lun, Zhang, Hongcai, Jiang, Sufan. Distributionally Robust Negative-Emission Optimal Energy Scheduling for Off-Grid Integrated Electricity-Heat Microgrid[J]. IEEE Transactions on Sustainable Energy, 2023, 15(2), 803-818.
Authors:  Li, Hui;  Wu, Qiuwei;  Yang, Lun;  Zhang, Hongcai;  Jiang, Sufan
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:8.6/8.6 | Submit date：2024/02/23
Batteries  Carbon Dioxide  Cogeneration  Costs  Direct Air Capture  Distributionally Robust Chance Constraint  Energy Scheduling  Fans  Integrated Electricity-heat Microgrid  Negative Emission  Power Systems  Uncertainty  
Efficient Robust Scheduling of Integrated Electricity and Heat Systems: A Direct Constraint Tightening Approach Journal article
Jiang, Yibao, Wan, Can, Botterud, Audun, Song, Yonghua, Dong, Zhao Yang. Efficient Robust Scheduling of Integrated Electricity and Heat Systems: A Direct Constraint Tightening Approach[J]. IEEE Transactions on Smart Grid, 2021, 12(4), 3016-3029.
Authors:  Jiang, Yibao;  Wan, Can;  Botterud, Audun;  Song, Yonghua;  Dong, Zhao Yang
Favorite | TC[WOS]:14 TC[Scopus]:19  IF:8.6/9.6 | Submit date：2021/12/08
Robust Scheduling  Integrated Energy System  Constraint Tightening  Renewable Energy  Uncertainty