Sparsity based methods in system identification

Many practical situations involve synthesizing controllers for systems where a priori models are not available and thus must be identified from experimental data. In most cases, it is possible to find multiple models that are consistent with the data. It is of interest to identify a simpler model co...

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spelling ndltd-NEU--neu-rx915q09c2021-05-28T05:22:17ZSparsity based methods in system identificationMany practical situations involve synthesizing controllers for systems where a priori models are not available and thus must be identified from experimental data. In most cases, it is possible to find multiple models that are consistent with the data. It is of interest to identify a simpler model compatible with the available information whenever possible than a more complex one. One of the motivations is the fact that the order of the plant model is reflected in the order of the resulting controllers. Another reason is the simplicity of analysis with low order models.http://hdl.handle.net/2047/D20194326
collection NDLTD
sources NDLTD
description Many practical situations involve synthesizing controllers for systems where a priori models are not available and thus must be identified from experimental data. In most cases, it is possible to find multiple models that are consistent with the data. It is of interest to identify a simpler model compatible with the available information whenever possible than a more complex one. One of the motivations is the fact that the order of the plant model is reflected in the order of the resulting controllers. Another reason is the simplicity of analysis with low order models.
title Sparsity based methods in system identification
spellingShingle Sparsity based methods in system identification
title_short Sparsity based methods in system identification
title_full Sparsity based methods in system identification
title_fullStr Sparsity based methods in system identification
title_full_unstemmed Sparsity based methods in system identification
title_sort sparsity based methods in system identification
publishDate
url http://hdl.handle.net/2047/D20194326
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