The higher order singular-value-based canonical form of linear parameter varying models
we define, extracts a models's most important invariant characteristics. We studied the …

Varying time delays are inherent and unavoidable properties of a large set of control
systems causing stability issues in most cases. Control design methods that guarantee the …

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 (TP) model transformation is a recently proposed numerical method
capable of transforming linear parameter varying state‐space models to the higher order …

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 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 …

ABSTRACT The Tensor Product (TP) model transformation method was proposed recently
as an automated gateway between a class of non‐linear models and linear matrix inequality …

This paper proposes a framework for selecting affinely parametrized qLPV model structures
that facilitates solutions to specific control design tasks. Moreover it facilitates the selection of …

The tensor product (TP) model transformation is a recently proposed technique for
transforming given linear parameter varying (LPV) models into affine model form, namely, to …