The motivation behind 15 years of continuous development within the topic of the tensor
product (TP) model transformation is that the greater the number of parameters or …

In this article, the resilient filter design problem for continuous-time nonlinear systems is
addressed. A Takagi–Sugeno fuzzy model with norm-bounded uncertainties is used to …

This paper proposes a tensor product (TP) model transformation-based framework requiring
minimal human intuition to numerically reconstruct linear time invariant, Takagi-Sugeno (TS) …

The present paper proves that the vertexes of the tensor product (TP) model type polytopic
representation of a given quasi linear parameter varying (qLPV) state‐space model strongly …

The vertices of a polytopic LPV/qLPV model determine the feasibility of any linear matrix
inequality (LMI) based control design as well as the achievable control performance, since …

The tensor product model transformation (TPMT) is an emerging numerical framework of the
Takagi-Sugeno (TS) fuzzy (or polytopic) system modeling for a linear matrix inequality based …

The current work investigates tumor growth control under antiangiogenic targeted molecular
therapy by use of Tensor Product (TP) transformation. During the dynamics of the tumor …

The current article investigates the possibilities of designing a robust control solution for a
control problem related to type 1 diabetes mellitus. The proposed control methodology …

The paper proposes a control design methodology for active flutter suppression for the
aeroservoelastic (ASE) aircraft of the European project FLEXOP. The aim of the controller is …

A tensor product (TP) model has an infinite number of alternatives. These variants can be
readily derived by the TP model transformation that can variate the number of fuzzy rules …