The main objective of the paper is to introduce how the concept of tensor HOSVD can be
carried over to the TP (tensor product) dynamic models, namely, how we can define and …

Recently a systematic method was presented for the generation of whole families of “Fixed
Point Transformations” that can be used in nonlinear adaptive control of “Single Input-Single …

The research work leading to the results presented in this dissertation is based on the
significant paradigm changes in control theory, mathematics and system theory, appearing …

The Tensor Product model transformation is a numerical method that is capable of uniformly
transforming LPV (linear parameter-varying) dynamic models into polytopic forms, both in a …

The main objective of the paper is to introduce how the concept of tensor HOSVD can be
carried over to the class of multi-variable TP (tensor product) functions, namely, how we can …

The Tensor Product (TP) model transformation is a recently proposed technique for
transforming given Linear Parameter Varying (LPV) state-space models into polytopic model …

ABSTRACT Tensor Product Distributed Compensation (TPDC) is a recently established
controller design framework, that links TP model transformation and Parallel Distributed …

The tensor‐product (TP) model transformation is a numerical technique that finds a convex
representation, akin to a Takagi‐Sugeno (TS) fuzzy model, from a given linear parameter …

The sequentially truncated higher‐order singular value decomposition (ST‐HOSVD) is
applied to a tensor product (TP) model transformation instead of the compact form of HOSVD …

The main objective of the paper is to introduce how the concept of tensor HOSVD (higher
order singular value decomposition) can be carried over to the TP (tensor product) dynamic …