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浏览/检索结果: 共21条，第1-10条 帮助 限定条件 发表日期：2016    专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 An active and reactive power joint real-time dispatch approach for microgrid using model predictive control 期刊论文 Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 卷号: 36, 页码: 6743-6750 作者:  Zhang, Zhong;  Wang, Jianxue 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Active and Reactive Power  Active power flow  Economic Dispatch  Economic efficiency  Joint dispatches  Micro grid  Reactive power flow  Real time dispatches   Nonlinear-disturbance-observer-based offline model predictive control for hypersonic vehicles 期刊论文 Guti Huojian Jishu/Journal of Solid Rocket Technology, 2016, 卷号: 39, 期号: [db:dc_citation_issue], 页码: 825-832 作者:  Ma, Yu;  Cai, Yuan-Li 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 Hypersonic vehicle  Nonlinear disturbance observer  Offline model predictive control  Polyhedral invariant set   Energy-Efficient Dynamic Matrix Control for Biochemical Continuous Sterilization 会议论文 作者:  Zhang, Shiliang;  Cao, Hui;  Zhang, Yanbin;  Xiong, ZongZhen 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 Energy-efficient  Dynamic matrix control  Continuous sterilization  Model predictive control  Process control   Output feedback robust model predictive control with unmeasurable model parameters and bounded disturbance 期刊论文 CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2016, 卷号: 24, 期号: [db:dc_citation_issue], 页码: 1431-1441 作者:  Ding, Baocang;  Pan, Hongguang 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Model predictive control  Uncertainty  Norm-bounding technique  Stability  Recursive feasibility  Process systems   Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data 会议论文 作者:  Zheng, Chunqiu;  Xing, Lei;  Li, Tian;  Li, Tingting;  Yang, Huan 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 predictive model  regression anlaysis  colorectal cancer  classification  feature selection   A geometrical-mechanical-thermal predictive model for thermal contact conductance in vacuum environment 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2016, 卷号: 230, 期号: [db:dc_citation_issue], 页码: 1451-1464 作者:  Ma, Chi;  Zhao, Liang;  Shi, Hu;  Mei, Xuesong;  Yang, Jun 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02 Fractal parameters  surface characterization  thermal contact conductance  contact mechanics analysis   Stochastic Coordination of Plug-In Electric Vehicles and Wind Turbines in Microgrid: A Model Predictive Control Approach 期刊论文 IEEE TRANSACTIONS ON SMART GRID, 2016, 卷号: 7, 期号: [db:dc_citation_issue], 页码: 1537-1551 作者:  Kou, Peng;  Liang, Deliang;  Gao, Lin;  Gao, Feng 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 energy management  microgrid  wind energy  probabilistic wind power forecast  Doubly-fed induction generator (DFIG)  plug-in electric vehicles (PEVs)  predictive control   Output feedback robust MPC for LPV system with polytopic model parametric uncertainty and bounded disturbance 期刊论文 INTERNATIONAL JOURNAL OF CONTROL, 2016, 卷号: 89, 期号: [db:dc_citation_issue], 页码: 1554-1571 作者:  Ding, Baocang;  Pan, Hongguang 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 bounded disturbance  linear parameter varying system  Output feedback  model predictive control   Dynamic Output Feedback Robust MPC Using General Polyhedral State Bounds for the Polytopic Uncertain System With Bounded Disturbance 期刊论文 ASIAN JOURNAL OF CONTROL, 2016, 卷号: 18, 期号: [db:dc_citation_issue], 页码: 699-708 作者:  Ding, Baocang;  Gao, Chenbo;  Ping, Xubin 收藏  |  浏览/下载：15/0  |  提交时间：2019/12/02 bounded disturbance  dynamic output feedback  Model predictive control  uncertain systems   A nonlinear model predictive controller based on the linguistic model for biochemical continuous sterilization 会议论文 作者:  Zhang, Shiliang;  Cao, Hui;  Zhang, Yanbin;  Yuan, Yiwei;  Ma, Xiaoyan 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 linguistic model  biochemical continuous sterilization  optimization  nonlinear model predictive control  process control