Simultaneous state and input estimation of a synchronous machine using the Extended Kalman Filter with unknown inputs
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5981421/5993850/05994825.pdf?arnumber=5994825
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Extended kernel Risk-Sensitive loss unscented Kalman filter based robust dynamic state estimation;International Journal of Electrical Power & Energy Systems;2023-06
2. Transfer Case Clutch Torque Estimation Using an Extended Kalman Filter With Unknown Input;IEEE/ASME Transactions on Mechatronics;2021
3. Dynamic State Estimation of Synchronous Generator Rotor Angle Using PMU and EKF Under Stressed Conditions;Advances in Smart Grid Automation and Industry 4.0;2021
4. Dynamic state estimation of generators using spherical simplex unscented transform‐based unbiased minimum variance filter;IET Generation, Transmission & Distribution;2020-06-03
5. A Novel Approach for Determining Salient-Pole Synchronous Machine Magnetizing Reactances from On-line Measurements;2020 IEEE 29th International Symposium on Industrial Electronics (ISIE);2020-06
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