Identification of Parameters in Large Scale Physical Model Structures, for the Purpose of Model-Based Operations

Hof, Paul M.J. Van den; Doren, J. F. M. Van; Douma, Sippe G.

doi:10.1007/978-1-4419-0895-7_8

Cited by 7 publications

(8 citation statements)

References 24 publications

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“…In the challenge of growing model complexity on one side, and experimental limitations on the other side, both types of nonidentifiability arise frequently, often prohibiting reliable prediction of system dynamics. Once non-identifiability is detected, it can be resolved either by experimental design, measuring additional data under suitable conditions, or by model reduction, linearization, 102 tailoring the size of the model to the information content provided by the experimental data, or by more model refinement based on lower scale calculations. In the latter, for the domain of catalysis, Reuter et al proposes a systematic methodology for the development of error-controlled ab initio based kinetic models (Fig.…”

Section: Managing Multiscale Models Complexitymentioning

confidence: 99%

Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

2013

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This review focuses on the role of physical theory and computational electrochemistry for fundamental understanding, diagnostics and design of new electrochemical materials and operation conditions for energy storage through rechargeable Li ion batteries (LIBs). More particularly, deep insight based on multiscale physical modelling techniques, spanning scales from few atoms to the device level, can advise about the materials behaviour and aging and how components with optimal specifications could be made and how they can be integrated into operating devices. Concepts and different existing multiscale modelling methodologies are presented and some of the ongoing efforts within the community to understand from physical multiscale modelling and numerical simulation electrochemical mechanisms and degradation processes in LIBs are discussed. Finally, major challenges and perspectives in multiscale modelling for battery applications are highlighted.

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Section: Managing Multiscale Models Complexitymentioning

confidence: 99%

Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

2013

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“…E ‐optimality maximizes the minimum eigenvalue of FIM and, hence, minimizes the maximum error over all parameters. For the evaluation, scaling was applied, and noise was taken into account according to .…”

Section: Methodsmentioning

confidence: 99%

A new method for estimating subject‐specific muscle–tendon parameters of the knee joint actuators: a simulation study

Campen

Pipeleers

Groote

et al. 2014

Numer Methods Biomed Eng

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A new method for the estimation of subject-specific muscle-tendon parameters of the knee actuators based on dynamometry experiments is presented. The algorithm aims at estimating the tendon slack length and the optimal muscle fiber length by minimizing the difference between experimentally reproduced and model-based joint moments. The key innovative features are as follows: (i) the inclusion of a priori physiological knowledge to define a physiologically feasible set, the hot start for the optimization, and constraints for the optimization and (ii) the introduction of a new (affine) transformation of the muscle-tendon parameters, which greatly improves the numerical condition of the optimization. The influence of the initial guess and of measurement noise was studied in a simulation environment, and the performance was compared with that of the method presented earlier by Garner and Pandy for the upper limb. The tendon slack length was estimated for 97.5/63% (extensors/flexors) of all initial guesses within 2% of the ground truth. The optimal fiber length was estimated for 89/90% (extensors/flexors) of all initial guesses within 2% of the ground truth. When 10 Nm measurement noise was added, the mean value of the estimated tendon slack length deviated at most 1.9/1.6% (extensors/flexors) from the ground truth whereas the standard deviations were at most 5.1/3.9%. The mean value of the estimated optimal fiber length deviated at most 4.3/3.0% (extensors/flexors) from the ground truth whereas the standard deviations were at most 10.2/15.5%. In comparison, mean values resulting from the method of Garner and Pandy deviated up to 181% ( ± 123%) and 119% ( ± 30%) from the ground truth for, respectively, optimal fiber length and tendon slack length of rectus femoris. We concluded that the presented method had a low dependency on the initial guess and outperformed the method of Garner and Pandy in terms of accuracy by at least one order of magnitude when parameters were estimated from noisy data. The improvements open new perspectives for subject-specific modelling of muscles and tendons, which is beneficial for the accuracy of human motion simulations.

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“…Columns are ordered starting from the best group to the worst. For further details see Andrle (2010) and Van den Hof et al (2009).…”

Section: Appendix a Model Variablesmentioning

confidence: 99%

An Extended Quarterly Projection Model: Credit Cycle, Macrofinancial Linkages and Macroprudential Measures: The Case of the Philippines

Karam¹,

Vlček²,

Pranovich³

2021

IMF Working Papers

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Identification of Parameters in Large Scale Physical Model Structures, for the Purpose of Model-Based Operations

Cited by 7 publications

References 24 publications

Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

A new method for estimating subject‐specific muscle–tendon parameters of the knee joint actuators: a simulation study

An Extended Quarterly Projection Model: Credit Cycle, Macrofinancial Linkages and Macroprudential Measures: The Case of the Philippines

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