A System Identi cation Software Tool for General MISO ARX-type of Model Structures
نویسنده
چکیده
The typical system identi cation procedure requires powerful and versatile software means. In this paper we describe and exemplify the use of a prototype identi cation software tool, applicable for the rather broad class of multi input single output model structures with regressors that are formed by delayed inand outputs. Interesting special instances of this model structure category include, e.g., linear ARX and many semi-physical structures, feed-forward neural networks, radial basis function networks, hinging hyperplanes, certain fuzzy structures, etc., as well as any hybrid obtained by combining an arbitrary number of such approaches.
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