Experimental data and mathematical models are beginning to take equal billing in systems biology. Experimental observations without a framework in which to link them offer researchers only limited ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...

Parameter estimation and optimisation in fuel cells are critical in developing robust and predictive models necessary for improving their efficiency, longevity, and overall performance. At the heart ...

This is a preview. Log in through your library . Abstract Experimentalists are familiar with the aliasing that happens in data acquisition when the sampling rate is less than twice the highest ...

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...

Brain evoked potential (EP) data consist of a true response ("signal") and random background activity ("noise"), which are observed over repeated stimulus presentations ("trials"). A signal that ...

The following data are taken from Lawless (1982, p.193) and represent the number of days it took rats painted with a carcinogen to develop carcinoma. The last 2 observations are censored data from a ...

Abstract: Accurate modelling, parameter extraction, and State of Charge (SoC) estimation of Li-ion batteries are essential for grid-connected Electric Vehicle (EV) applications to ensure optimal ...

Abstract: A parameter estimation and flux weakening cooperative control strategy is proposed for a double stator hybrid excitation machine with dc biased current. In the flux weakening region, the ...