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