Electrical systems identification using Golay complementary series

1997 ◽  
Vol 144 (6) ◽  
pp. 267-272 ◽  
Author(s):  
M.K. Oolun
Keyword(s):  
Complementary Series ◽  
Electrical Systems ◽  
Systems Identification

Modeling of electrical systems powered by generator sets for long railway tunnels

2020 ◽  
Author(s):  
Regina Lamedica ◽  
Fabio Massimo Gatta ◽  
Alessandro Ruvio ◽  
Francesco Olevano ◽  
Guido Guidi Buffarini ◽  
...  
Keyword(s):  
Electrical Systems ◽  
Generator Sets

An Analysis of On-Bord High-Voltage Converters of Single-Phase Alternating Current with Increased Miroelectric Power Factor

2020 ◽  
Vol 10 (10) ◽  
pp. 44-51
Author(s):  
Yury Yu. SKOROKHOD ◽  
◽  
Sehgey I. VOL’SKIY ◽  
Keyword(s):  
High Voltage ◽  
Single Phase ◽  
Input Current ◽  
Voltage Converter ◽  
Input Unit ◽  
Power Circuit ◽  
Electrical Systems ◽  
Static Converters ◽  
Technical Requirements

The power circuit arrangements of on-board high-voltage static converters fed from a 3000 V AC single-phase network that in the general case produce multi-channel AC and DC output voltages are considered. The basic technical requirements posed to such converters are formulated. The general structural diagram of high-voltage converters with improved electric power consumption quality is given. Possible power circuit arrangements for the high-voltage converter input unit based on single-phase input current correction devices are considered. A classification and criteria for comparative evaluation of the possible power circuit arrangements of these devices are proposed. The information presented in the article will be of interest for specialists engaged in designing on-board electrical systems involving high-voltage converters that must comply with strict requirements for the quality of consumed single-phase input current.

CONTINUOUS-TIME FRACTIONAL ORDER LINEAR SYSTEMS IDENTIFICATION USING CHEBYSHEV WAVELET

2020 ◽  
Vol 6 (8(77)) ◽  
pp. 23-28
Author(s):  
Shuen Wang ◽  
Ying Wang ◽  
Yinggan Tang
Keyword(s):  
Linear Systems ◽  
Fractional Order ◽  
Continuous Time ◽  
Fractional Integration ◽  
Operational Matrices ◽  
Computation Complexity ◽  
Order Linear ◽  
Fractional Integration Operator ◽  
Systems Identification ◽  
Chebyshev Wavelet

In this paper, the identification of continuous-time fractional order linear systems (FOLS) is investigated. In order to identify the differentiation or- ders as well as parameters and reduce the computation complexity, a novel identification method based on Chebyshev wavelet is proposed. Firstly, the Chebyshev wavelet operational matrices for fractional integration operator is derived. Then, the FOLS is converted to an algebraic equation by using the the Chebyshev wavelet operational matrices. Finally, the parameters and differentiation orders are estimated by minimizing the error between the output of real system and that of identified systems. Experimental results show the effectiveness of the proposed method.

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