scholarly journals State Variable Model for Considering the Parasitic Inductor Resistance on the Open Loop Performance of DC to DC Converters

2014 ◽  
Vol 02 (13) ◽  
pp. 41-48 ◽  
Author(s):  
Carlos Alberto Lozano Espinosa
1995 ◽  
Vol 35 (4) ◽  
pp. 310-316 ◽  
Author(s):  
Erhard Krempl ◽  
Christine M. Bordonaro

1985 ◽  
Vol 111 (1) ◽  
pp. 42-61
Author(s):  
Paul R. Dawson ◽  
Joel Lipkin ◽  
Herrick S. Lauson

2011 ◽  
Vol 6 (6) ◽  
pp. 563-579 ◽  
Author(s):  
A.B. Chattopadh ◽  
A. Choudhury ◽  
A. Nargund

2012 ◽  
Vol 236-237 ◽  
pp. 1356-1361
Author(s):  
Xiang Xing Kong ◽  
Xi Wang

The bias derivative method for aeroengine’s State Variable Model(SVM) doesn’t have a satisfying accuracy. This method usually needs a linear modification to achieve a higher accuracy. In order to obtain a SVM with a good accuracy, this paper proposes a process identification based method. In this method, the coefficient matrices of the SVM are identified based on the input and output of the nonlinear model, according to the principle that the step responses of the SVM and the nonlinear model should be consistent. Then, the SVMs of small perturbation about steady operating points of an engine are established. Simulation results show that the SVMs established by the process identification based method have a good fidelity both in terms of steady and dynamic performance.


2014 ◽  
Vol 51 (6) ◽  
pp. 1235-1245 ◽  
Author(s):  
Christopher A. Walton ◽  
M.F. Horstemeyer ◽  
Holly J. Martin ◽  
D.K. Francis

Ecology ◽  
1993 ◽  
Vol 74 (2) ◽  
pp. 351-366 ◽  
Author(s):  
Elizabeth J. Kelly ◽  
Patricia L. Kennedy

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