Tensor methods in nonlinear system modeling and identification 01:10:04
- Set Séminaires Recherche & Technologie
- Saison 2018-2019 - None - None > José Henrique de Morais Goulart
- Nov. 12, 2018
- José Henrique de Morais Goulart (conférencier)
Because of their intimate connection with multilinear forms, tensors arise naturally in nonlinear system representation with Volterra models. In particular, Volterra kernels with tensor structure arise in so-called block-structured models and in the construction of polynomial systems with certain approximation capabilities. As a consequence, results and concepts borrowed from multilinear algebra find application in nonlinear system modeling and identification problems. In this talk, I will present a survey of tensor-based methods which have been applied to these problems, and briefly discuss some open possibilities.