ERROR REGULATION IN EFGM ADAPTIVE SCHEME

Author(s):  
W. Kanok-Nukulchai ◽  
X. P. Yin
2013 ◽  
Vol 34 (8) ◽  
pp. 1980-1985
Author(s):  
Tian-ming Ma ◽  
Yu-song Shi ◽  
Feng-rong Li ◽  
Ying-guan Wang

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4225
Author(s):  
Chengbi Zeng ◽  
Sudan Li ◽  
Hanwen Wang ◽  
Hong Miao

Repetitive control (RC) is gradually used in inverters tied with weak grid. To achieve the zero steady-state error tracking of inverter current and compensate the harmonic distortion caused by frequency fluctuation, a frequency adaptive (FA) control scheme for LCL-type inverter connected with weak grid is proposed. This scheme adopts a proportional resonance (PR) controller in parallel with RC (PRRC) to overcome the disadvantages caused by RC inherent one-cycle time delay. A fractional delay (FD) filter based on the Newton structure is proposed to approximate the fraction item of fs/f, where fs and f are sample frequency and grid frequency, respectively. The structure of the proposed FD filter is relatively simple; moreover, coefficients of the filter maintain constant so as not to need online tuning even when grid frequency fluctuates, which decreases the computational burden considerably. The feasibility and effectiveness of the proposed FA control scheme, named as Newton-FAPRRC, are all verified by the simulation and experimental results.


2016 ◽  
Vol 85 ◽  
pp. 89-97 ◽  
Author(s):  
Weizhan Zhang ◽  
Shuyan Ye ◽  
Bin Li ◽  
Hui Zhao ◽  
Qinghua Zheng

Author(s):  
Vitaliy G. Rodionov

S.M. Mikhailov (Yandush) distinguished two ethnographic groups and two dialects of the Chuvash ethnos. The scientist attributed the population of Kozmodemyansky and the northern part of Yadrinsky uyezds to the upper (Virjal) Chuvash, and that of Tsivisky and Cheboksary uyezds of Kazan province – to the lower (Anatri) ones. Starting with the works of G.I. Komissarov, a third (middle-level) group began to be allocated from the lower group. According to the scientist, the Chuvash, being a separate community of Turkic-speaking peoples, used to live in Zakamye, where they had migrated from Siberia. He developed the Turkic-Bulgarian theory of the Chuvash language origin and the main ethnographic groups (middle lower and lower) of the Chuvash ethnos. He considered the upper dialect to be a mixed group, in whose culture, in addition to Turkic-Bulgar elements he found many elements of the Finno-Ugrians (the mountain Mari and the Mordvins-Erzya), and partly Kazan Tatars. Prior to annexation of the Chuvash Region to the Moscow state, two ethnographic groups of the mountain Chuvash functioned on the right bank of the Volga – the upper and the middle lower. After settling the southern steppe regions, in the process of cultural dialogue with the Mishar Tatars, a third ethnographic group was formed, known to the middle lower Chuvash as the khirti “steppe”. In Modern times, the geographical location of the ethnographic groups of the Chuvash ethnos contributed to penetration of the ideas of the European-Russian Enlightenment in the Chuvash Region (from the western territories to the eastern and southern ones). In the 1950s of the XX century the ideas of the Chuvash enlightenment were first formulated by S.M. Mikhailov, and later they began to spread in the academic circles of the entire Volga region. His works remain a valuable source for identifying the adaptive scheme of the ethnos, which the Chuvash built by localizing the “evil” principle outside of themselves, their society, ethnos.


2020 ◽  
Vol 20 (4) ◽  
pp. 60-83
Author(s):  
Vinícius Magalhães Pinto Marques ◽  
Gisele Tessari Santos ◽  
Mauri Fortes

ABSTRACTObjective: This article aims to solve the non-linear Black Scholes (BS) equation for European call options using Radial Basis Function (RBF) Multi-Quadratic (MQ) Method.Methodology / Approach: This work uses the MQ RBF method applied to the solution of two complex models of nonlinear BS equation for prices of European call options with modified volatility. Linear BS models are also solved to visualize the effects of modified volatility.  Additionally, an adaptive scheme is implemented in time based on the Runge-Kutta-Fehlberg (RKF) method.


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