LPvcore: MATLAB toolbox for LPV modelling, identification and control

Dynamic assessment of the axial force in the tie-rods of the Milan Cathedral

metallic tie-rods are installed under all naves to support a portion of the lateral thrust exerted by vaults and arches. After the recent failure of one tie-rod, an extensive research program was carried out to characterize the metallic material and to evaluate the axial forces and the tensile stresses of the tie-rods through dynamic testing and...

Performance analysis based on parameter identification

A next generation of models is needed to guarantee energy performances of buildings and systems in practice. Current energy performance models use assumptions on climate, user behavior, characteristics of building and systems that may deviate from reality. Improvement of the accuracy of these models and assumptions is necessary to better predict...

On-line battery identification for electric driving range prediction

Hybrid and electric vehicles require accurate knowledge of the battery to make an educated guess about the expected electric driving range. Range prediction is complicated by the fact that batteries are subject to external influences and aging. Also the future driving behavior is often unknown. This paper presents a model-based identification...

Structure and parameterization of MF-swift, a magic formula-based rigid ring tire model

Vehicle dynamic simulations require accurate, fast, reliable, and easy-to- parameterize tire models. For this purpose, TNO developed MF-Swift in close cooperation with the technical universities of Delft and Eindhoven. MF-Swift is based on the well-known magic formula model of Pacejka but extending to higher frequencies (60-100 Hz), shorter...

PASLINK and dynamic outdoor testing of building components

The PASLINK test facilities and analysis procedures aim to obtain the thermal and solar characteristics of building components under real dynamic outdoor conditions. Both the analysis and the test methodology have evolved since the start of the PASSYS Project in 1985. A programme of upgrading the original PASSYS test cells has improved...

Exploiting the spatiotemporal correlation in adaptive optics using data-driven H2-optimal control

A recently proposed data-driven H2-optimal control approach is demonstrated on a laboratory setup. Most adaptive optics (AO) systems are based on a control law that neglects the temporal evolution of the wavefront. The proposed control approach is able to exploit the spatiotemporal correlation in the wavefront without assuming any form of...

Full-waveform static corrections using blind channel identification

Near-surface wavefield perturbations can be very complex and completely mask the target reflections. Despite this complexity, conventional methods rely on parameterizations characterized by simple time and amplitude anomalies to compensate for these perturbations. Determining and compensating for time shifts is generally referred to as (residual...

On physical and data driven modelling of irrigation channels

In this paper we test the St. Venant equations against real data in order to examine their accuracy and capability to describe the relevant dynamics of an irrigation channel. The St. Venant equations are simulated using the Preissmann scheme, and the simulated and real measured water levels are compared. Some of the parameters in the St. Venant...

Robust spectral factor approximation of discrete-time frequency domain power spectras

This paper presents a subspace-based identification algorithm for estimating the state-space quadruple [A,B,C,D] of a minimum-phase spectral factor from matrix-valued power spectrum data. For a given pair [A,C] with A stable, the minimum-phase property is guaranteed via the solution of a conic linear programming (CLP) problem. In comparison with...

Identification in static luminance and color noise

If images from multiple sources (e.g. from the different bands of a multi-band sensor) are displayed in color, Signal and Noise may appear as luminance and color differences in the image. As a consequence, the perception of color differences may be important for Target Acquisition performance with fused imagery. Luminance and color can be...

Trends in the identification of organic residues and contaminants: EC regulations under revision

The use of identification points (IPs) is a new approach to set up quality criteria for the identification of organic residues and contaminants: a laboratory is allowed to use any molecular spectrometric technique or combination of techniques in order to earn a minimum number of points. The system of IPs balances the identification power of the...

Identification and adaptive control scheme using fuzzy parameterized linear filters

A nonlinear fuzzy control structure enhanced with supervised learning and/or adaption is presented. Availability of at least a partial process model is assumed. Nonlinear process identification procedure is used to complete the partial model. Based on the identification model the system sensitivity model is derived which guides the training...

Fuzzy modelling and control using parameterized linear filters

The paper presents a nonlinear identification scheme, which consists of a linear dynamical section (filter) and a nonlinear zero-memory section (implemented by a fuzzy mapping). Only the filter section is on the primary signal path. The nonlinear mapping (depending on the system input and state) delivers the filter parameters. The identification...