Maximum Likelihood Estimation of Hammerstein Models

Maximum Likelihood Estimation of Hammerstein Models

In this Master's thesis, Maximum Likelihood-based parametric identification methods for discrete-time SISO Hammerstein models from perturbed observations on both input and output, are investigated. Hammerstein models, consisting of a static nonlinear block followed by a dynamic linear one, are...

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Bibliographic Details
Main Author: Sabbagh, Yvonne
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för systemteknik 2003
Subjects:
Datorteknik
Hammerstein models
nonlinear dynamic systems
system identification
Maximum Likelihood
parametric identification methods.
Computer Engineering
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061

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