This paper deals with two topics from state and parameter estimation. The first contribution of
this work provides an overview of techniques used for determining which parameters of a …

Background Dynamic modelling provides a systematic framework to understand function in
biological systems. Parameter estimation in nonlinear dynamic models remains a very …

Mathematical modelling offers a variety of useful techniques to help in understanding the
intrinsic behaviour of complex signal transduction networks. From the system engineering …

This paper presents a new approach for sensor location for state and parameter estimation
for stable nonlinear systems. The unique feature of this technique is that sensor locations for …

Damage localization based on ambient vibration data in combination with finite element
models can be challenging, in particular due to the large number of parameters in the model …

This article proposes a novel method to estimate the optimal parameters and power outputs
for photovoltaic (PV) power generation. Accurate estimation for PV power generation allows …

The paper addresses methods for parameter sensitivity analysis in a large, nonlinear,
mechanistic model which is to be run in an on-line estimation scheme. The parameter …

Abstract Model-based design of experiments (MBDoE) has been widely used for efficient
development of mathematical models, which can then be used for various applications for …

A challenge for the design of nonlinear polymerization is the full appreciation of the impact of
side reactions, demanding the development of modeling techniques to determine the …

Natural gas processing involves the removal of acidic gases, followed by dehydration. The
dehydration process is primarily carried out through absorption in triethylene glycol (TEG) …