Tensor product model transformation: Difference between revisions

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|year = 2013
|pages = 240
|isbn = 978-1-43-981816-9 (IN PRINT)
}}</ref> for quasi-LPV (qLPV) control theory. It transforms a function (which can be given via [[Closed-form expression|closed formulas]] or [[neural network]]s, [[fuzzy logic]], etc.) into TP function form if such a transformation is possible. If an exact transformation is not possible, then the method determines a TP function that is an approximation of the given function. Hence, the TP model transformation can provide a trade-off between approximation accuracy and complexity.<ref name=ykc01>{{cite journal
|author = D. Tikk, P.Baranyi, R. J. Patton