TP tool - A MATLAB toolbox for TP model transformation

作者: Zoltán Petres , Szabolcs Nagy , Péter Zoltán Baranyi

DOI:

关键词: Soft computingTransformation (function)Fuzzy logicCanonical formContext (language use)AlgorithmModel transformationComputer scienceTensor product model transformationControl engineeringLinear matrix inequality

摘要: The Tensor Product model transformation is a numerical method that capable of uniformly transforming LPV (linear parameter-varying) dynamic models into polytopic forms, both in theoretical and algorithmic context. Using the TP transformation, different optimization convexity constraints can be considered, transformations executed without any analytical interactions, within reasonable amount time (irrespective whether given form equations resulting from physical considerations, as an outcome soft computing based identification techniques such neural networks or fuzzy logic methods, result blackbox identification). Thus, replaces usual oftentimes complex conversions with numerically tractable straightforward series operations. generates two kinds models. Firstly, it reconstructs HOSVD (Higher Order Singular Value) canonical This new unique representation. extracts structure various important properties same sense does for matrices tensors. Secondly, convex upon which LMI (Linear Matrix Inequality) multi-objective control design immediately order to satisfy performance requirements. tool MATLAB Toolbox implements Model Transformation Control Design framework. It available at http://tptool.sztaki.hu.

参考文章(15)
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