Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has
become a promising system theoretical approach to handle the control of mildly nonlinear …

Monitoring critical temperatures in permanent magnet synchronous motors (PMSM) is
essential to prevent device failures or excessive motor life-time reduction due to thermal …

We consider identification of a certain class of discrete‐time nonlinear systems known as
linear parameter varying system. We assume that inputs, outputs and the scheduling …

In this paper we present a novel algorithm to identify LPV systems with affine parameter
dependence operating under open-and closed-loop conditions. A factorization is introduced …

A subspace identification method is discussed that deals with multivariable linear parameter-
varying state-space systems with affine parameter dependence. It is shown that a major …

This paper describes the quasi-linear parameter varying (quasi-LPV) modeling,
identification and control of a Twin Rotor MIMO System (TRMS). The non-linear model of the …

In this thesis, new system identication methods are presented for three particular types of
nonlinear systems: linear parameter-varying state-space systems, bilinear state-space …

This paper deals with the identification of a linear parameter-varying (LPV) system whose
parameter dependence can be written as a linear-fractional transformation (LFT). We …

This paper presents a new method to estimate linear parameter-varying (LPV) state-space
models for single-input single-output systems whose dynamics depend on one or more time …

The problem of deriving MIMO parameter-dependent models for gain-scheduling control
design from data generated by local identification experiments is considered and a …