Convergence of an Identification Technique for Nonlinear Systems

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 ex...

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Veröffentlicht in:	IEEE transactions on computers 1972-11, Vol.C-21 (11), p.1216-1219
Hauptverfasser:	Govindan, G.N., Higgins, R.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analog computer approximate derivative computation differential equation model identification memory-type nonlinearity minimum area criterion nonlinear system nonmemory-type nonlinearity system order
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Beschreibung
Zusammenfassung:	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.
ISSN:	0018-9340 1557-9956
DOI:	10.1109/T-C.1972.223479