DocumentCode :
326877
Title :
Practically-motivated input sequences for nonlinear model identification
Author :
Pearson, Ronaldk ; Menold, Patrichk ; Lgower, Frankal
Author_Institution :
Inst. fur Autom., Eidgenossische Tech. Hochschule, Zurich, Switzerland
Volume :
2
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1235
Abstract :
We consider the use of binary sequences for the identification of simple nonlinear dynamic models. The results presented illustrate the nature of the interplay between the structure of the nonlinear model, the switching probability of the binary sequence, and the variability of the resulting parameter estimates. Extension to MIMO problems are proposed
Keywords :
MIMO systems; Markov processes; binary sequences; matrix algebra; nonlinear dynamical systems; parameter estimation; probability; MIMO problems; binary sequences; input sequences; nonlinear dynamic models; switching probability; Autocorrelation; Binary sequences; Differential equations; MIMO; Parameter estimation; Random variables; Stochastic processes; Stochastic resonance; Vectors; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.703611
Filename :
703611
Link To Document :
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