DocumentCode
1110344
Title
Convergence of an Identification Technique for Nonlinear Systems
Author
Govindan, G.N. ; Higgins, R.A.
Author_Institution
Departmnent of Electrical Engineering, South Dakota State University
Issue
11
fYear
1972
Firstpage
1216
Lastpage
1219
Abstract
The error equation for an approximate derivative computation scheme predicts convergence of a minimum area criterion for the identification of nonmemory-type nonlinearities and nonconvergence for memory-type nonlinearties. Determination of the system order and gain parameters is possible. Typical experimental results are given.
Keywords
Analog computer, approximate derivative computation, differential equation model, identification, memory-type nonlinearity, minimum area criterion, nonlinear system, nonmemory-type nonlinearity, system order.; Computational modeling; Computer errors; Convergence; Delay estimation; Differential equations; Mathematical model; Nonlinear equations; Nonlinear filters; Nonlinear systems; Physics computing; Analog computer, approximate derivative computation, differential equation model, identification, memory-type nonlinearity, minimum area criterion, nonlinear system, nonmemory-type nonlinearity, system order.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1972.223479
Filename
1672072
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