DocumentCode :
397177
Title :
Sampled-data simulation of periodically switched nonlinear circuits
Author :
Li, Quan ; Yuan, Fei
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont., Canada
Volume :
1
fYear :
2003
fDate :
4-7 May 2003
Firstpage :
219
Abstract :
A new and efficient method for time domain response and sensitivity analysis of periodically switched nonlinear (PSN) circuits is presented. By representing the nonlinear characteristics using Volterra functional series and interpolating Fourier series, the response and sensitivity of PSN circuits are obtained. The method correctly handles the inconsistent initial conditions that may occur at switching instants by extending the previously proposed two-step algorithm to switched nonlinear circuits. Example circuits are analyzed and the results are compared with those from PSPICE simulation and the Brute-Force method.
Keywords :
Fourier series; Volterra series; nonlinear systems; sampled data circuits; sensitivity analysis; switched networks; Brute-Force method; PSPICE simulation; Volterra functional series; interpolating Fourier series; periodically switched nonlinear circuits; sensitivity analysis; time domain response; Circuit simulation; Linear circuits; Nonlinear circuits; Predictive models; SPICE; Sensitivity analysis; Switching circuits; Taylor series; Time domain analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-7781-8
Type :
conf
DOI :
10.1109/CCECE.2003.1226382
Filename :
1226382
Link To Document :
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