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
Link To Document :
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