Tensor Product Model Transformation in Polytopic Model-Based Control offers a new
perspective of control system design. Instead of relying solely on the formulation of more …

This paper integrates various ideas about the tensor product (TP) model transformation into
one conceptual framework and formulates it in terms of the Takagi–Sugeno (T–S) fuzzy …

The paper investigates and proves the statement, that the convex hull of the polytopic tensor
product (TP) model representation influences the feasibility of linear matrix inequality (LMI) …

In this work, a novel data-based stochastic “global” identification framework is introduced for
aerospace structures operating under varying flight states and uncertainty. In this context …

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 …

Based on the most recent Tensor Product model transformation solutions, the paper
presents an improved control performance for the most recent version of the three Degree of …

The main motivation of the TP model transformation is that modern identification and control
analysis, along with design methodologies, are based on various kinds of different …

ACTIVE control of aeroelasticity has been in the focus of aerospace and control engineering
for several decades. An introduction to this topic can be found in [1]. This Note largely …

An adaptive boundary control strategy is developed for the suppression of store induced
oscillations in the bending and twisting deflections of an uncertain flexible aircraft wing. A …

One of the earliest approaches in gain-scheduling control is the gridding based approach, in
which a set of local linear time-invariant models are obtained at various gridded points …