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1. Maximum Likelihood Estimation of Hammerstein Models
Uppsats för yrkesexamina på grundnivå, Institutionen för systemteknikSammanfattning : 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 widely applied to modeling nonlinear dynamic systems, i. LÄS MER
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