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Advances and selected recent developments in state and parameter estimation
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 …
this work provides an overview of techniques used for determining which parameters of a …
Robust and efficient parameter estimation in dynamic models of biological systems
Background Dynamic modelling provides a systematic framework to understand function in
biological systems. Parameter estimation in nonlinear dynamic models remains a very …
biological systems. Parameter estimation in nonlinear dynamic models remains a very …
Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-κB signalling pathway
Mathematical modelling offers a variety of useful techniques to help in understanding the
intrinsic behaviour of complex signal transduction networks. From the system engineering …
intrinsic behaviour of complex signal transduction networks. From the system engineering …
Determining optimal sensor locations for state and parameter estimation for stable nonlinear systems
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 …
for stable nonlinear systems. The unique feature of this technique is that sensor locations for …
Mean squared error criterion for model-based design of experiments with subset selection
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 …
development of mathematical models, which can then be used for various applications for …
Optimization of module parameters for PV power estimation using a hybrid algorithm
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 …
for photovoltaic (PV) power generation. Accurate estimation for PV power generation allows …
Parameter ranking by orthogonalization—Applied to nonlinear mechanistic models
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 …
mechanistic model which is to be run in an on-line estimation scheme. The parameter …
Bridging principal component analysis and method of moments based parameter estimation for grafting of polybutadiene with styrene
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 …
side reactions, demanding the development of modeling techniques to determine the …
[HTML][HTML] Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis
We aim to clarify our understanding of the process of state-space model input parameter
identification, known, within the clinical context, as model personalisation. To do so, we …
identification, known, within the clinical context, as model personalisation. To do so, we …
Parameter set selection for estimation of nonlinear dynamic systems
A new approach is introduced for parameter set selection for nonlinear systems that takes
nonlinearity of the parameter‐output sensitivity, the effect that uncertainties in the nominal …
nonlinearity of the parameter‐output sensitivity, the effect that uncertainties in the nominal …