Welding input parameters play a very significant role in determining the quality of a weld joint. The quality of the joint can be defined in terms of mechanical properties, distortion and weld-bead ...

This paper presents a hybrid method of combining the Random Forest (RF) algorithm in machine learning (ML) and the Gaussian process (GP) to design microstrip patch antennas at any frequency from 0.6 ...

Dr. Agamemnon Crassidis is a Professor in Mechanical Engineering at the Rochester Institute of Technology. He received his B.S., M.S., and Ph.D. in Mechanical Engineering from the State University of ...

This study addresses the problem of parameter estimation for a one-dimensional reaction-diffusion equation, involving both unknown domain parameters and unknown boundary parameters. The proposed ...

Some of the material on this web page is based upon work supported by the National Science Foundation under Grants SES-0350686, SES-0719055, and . Any opinions, findings and conclusions or ...

Abstract: In this paper, the parameters of the geared PMDC motor are estimated using the interior point algorithm (IPA). The problem of parameter estimation is converted to an optimization problem.

BatEst can be used to parameterise low-order battery models from time-series data. Matlab (version R2023a) Optimization Toolbox (version 9.5) System Identification Toolbox (version 10.1) Signal ...

The power transformers are one of the essential and major equipment in power systems. Transformers can transfer energy form generation plants to distribution areas via transmission lines with high ...

Abstract: This document presents the implementation of a con- tinuous population genetic optimization algorithm (CGA) as a solution method to the parameter estimation problem of a diode model (SDM) of ...

PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers state-of-the art algorithms for optimization and uncertainty analysis, which work ...