Zobrazeno 1 - 10
of 14
pro vyhledávání: '"HUANCHENG LIN"'
Publikováno v:
Viruses, Vol 16, Iss 8, p 1192 (2024)
Semi-covariance has attracted significant attention in recent years and is increasingly employed to elucidate statistical phenomena exhibiting fluctuations, such as the similarity or difference in charge patterns of spike proteins among coronaviruses
Externí odkaz:
https://doaj.org/article/9f43f63d119c4f80b2a24e9be3707184
Publikováno v:
ACM Transactions on Graphics; Apr2024, Vol. 43 Issue 2, p1-18, 18p
Publikováno v:
ACM Transactions on Graphics. 41:1-14
Isotropic As-Rigid-As-Possible (ARAP) energy has been popular for shape editing, mesh parametrisation and soft-body simulation for almost two decades. However, a formulation using Cauchy-Green (CG) invariants has always been unclear, due to a rotatio
Publikováno v:
2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).
Autor:
Wang Zhixin, Huancheng Lin
Publikováno v:
Electric Power Systems Research. 163:678-685
The model predictive control (MPC) is promising for control of the modular multilevel converter (MMC) owing to its advantages in inclusion of nonlinearities and constraints for complex systems. Existing MPC methods need to define cost functions, and
Autor:
Huancheng Lin, Wang Zhixin
Publikováno v:
IET Generation, Transmission & Distribution. 12:531-539
This study proposes a stationary coordinate system-based virtual-multilevel model predictive control strategy with error feedback for the control of the modular multilevel converter (MMC). In order to reduce the number of considered states for the ac
Autor:
Huancheng Lin, Wang Zhixin
Publikováno v:
International Journal of Electronics and Electrical Engineering. 5:195-201
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. :1-1
Autor:
Huancheng Lin, Wang Zhixin
Publikováno v:
2017 IEEE 7th International Conference on Power and Energy Systems (ICPES).
Existing control strategies of modular multilevel converter (MMC) have many drawbacks, such as need of several parameter controllers, complex parameter tuning and huge computational burden. This paper proposes a novel control method based on the hybr