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- W173331330 abstract "The maximum likelihood method of identification is a powerful tool for obtaining mathematical models of dynamic processes. To apply this method a loss function has to be minimized. The aim of the paper is an investigation of the local minimum points of this loss function for a common structure of a general form. If the loss function has more than one local minimum point, numerical problems can occur during the minimization. Sufficient conditions are given for the existence of a unique stationary point, which then also gives the desired global minimum. It is also shown by counter-examples that there are systems without peculiarities, which have more than one local minimum point of the loss function." @default.
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- W173331330 date "1975-03-01" @default.
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- W173331330 title "On the uniqueness of maximum likelihood identification" @default.
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- W173331330 doi "https://doi.org/10.1016/0005-1098(75)90061-8" @default.
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