Model Error Modelling using a Stochastic Embedding approach with Gaussian Mixture Models for FIR systems
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DOI: 10.1016/j.ifacol.2020.12.841
Abstract: Abstract In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochastic embedding approach is developed. The error-model distribution is approximated by a finite Gaussian mixture. An Expectation-Maximization based algorithm is proposed… read more here.
Keywords: model; embedding approach; using stochastic; error ... See more keywords