State-vector feedback gain analysis for deadbeat control of grid-integrated inverter with LCL filter

Author(s):  
Tarek Ahmed ◽  
Katsumi Nishida ◽  
Ikuo Nanno
2014 ◽  
Vol 42 (12) ◽  
pp. 1266-1277 ◽  
Author(s):  
Abousoufiane Benyoucef ◽  
Kamel Kara ◽  
Aissa Chouder ◽  
Santigo Silvestre

2017 ◽  
Vol 32 (10) ◽  
pp. 8163-8180 ◽  
Author(s):  
Yuanbin He ◽  
Henry Shu-Hung Chung ◽  
Carl Ngai-Man Ho ◽  
Weimin Wu

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.


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