Data Assimilation for Marine Ecosystem Models

In the presence of environmental issues caused by climate change and eutrophication, ecosystem models capable of providing accurate predictions are of considerable interest. Even the most advanced ecological models are not capable of reproducing reality perfectly, therefore it is essential to integrate them with the available observations. Data...

Identification of Muscle Activation at Rest

Offset muscle activation is the constant neural firing to muscles, even at rest, defining the minimum muscle contraction. Until now, the offset muscle activation has been neglected in the analysis of the dynamical behavior of joints. There is a clinical need for an assessment method to estimate the contribution of the offset muscle activation to...

Dynamic in situ calibration of an instrumented treadmill for systems identification and parameter estimation

Existing re-calibration methods for instrumented treadmills have mainly been performed when the instrumented treadmill has been in static operation i.e. the belts are not running. The effect re-calibrating during experimental operation, i.e. while the belts are running, on the ground reaction force (GRF) and the center of pressure (CoP) accuracy...

Maximum Likelihood Estimation of Linear Time-Varying Pilot-Vehicle System Parameters

Differential constraints for bounded recursive identification with multivariate splines

The ability to perform online model identification for nonlinear systems with unknown dynamics is essential to any adaptive model-based control system. In this paper, a new differential equality constrained recursive least squares estimator for multivariate simplex splines is presented that is able to perform online model identification and...

Model-Based Control of Industrial Batch Crystallizers: Experiments on Enhanced Controllability by Seeding Actuation

Crystallization is one of the oldest separation and purification techniques. Batch crystallizers are widely used in production of fine chemicals, food ingredients, specialty chemicals, and active pharmaceutical ingredients. Control of the crystalline material properties is a challenging task due to complexity and nonlinearity of batch...

A new approach to linear regression with multivariate splines

A new methodology for creating highly accurate, static nonlinear maps from scattered, multivariate data is presented. This new methodology uses the B-form polynomials of multivariate simplex splines in a new linear regression scheme. This allows the use of standard parameter estimation techniques for estimating the B-coefficients of the...

Finite-Sample Bias Propagation in Autoregressive Estimation With the Yule–Walker Method

The Yule-Walker (YW) method for autoregressive (AR) estimation uses lagged-product (LP) autocorrelation estimates to compute an AR parametric spectral model. The LP estimates only have a small triangular bias in the estimated autocorrelation function and are asymptotically unbiased. However, using them in finite samples with the YW method for AR...

Model reduction by proper orthogonal decomposition for estimation of scalar parameters in elliptic PDEs

Proper orthogonal decomposition (POD) is a powerful technique for model reduction of linear and non-linear systems. It is based on a Galerkin type discretization with basis elements created from the system itself. In this work POD is applied to estimate scalar parameters in elliptic partial differential equations. The parameter estimation is...

Model-based optimization of the operation procedure of emulsification

Emulsions are widely encountered in the food and cosmetic industry. The first food we consume is an emulsion, namely breast milk. Other common emulsions are mayonnaise, dressings, skin creams and lotions. Equipment often used for the production of oil-in-water emulsions in the food industry consists of a stirred vessel in combination with a...

Statistiscal Experimental Design for Quantitative Atomic Resolution Transmission Electron Microscopy

Statistical experimental design is applied to set up quantitative atomic resolution transmission electron microscopy experiments. In such experiments, observations of the atomic structure of the object under study are always subject to spontaneous fluctuations. As a result of these fluctuations, the precision with which structure parameters can...

Semi-analytical long-arc satellite orbit computation and the estimation of time-varying gravity parameters