Opposition decided gradient-based optimizer with balance analysis and diversity maintenance for parameter identification of solar photovoltaic models

2021 ◽  
Author(s):  
M. Premkumar ◽  
Pradeep Jangir ◽  
Rajvikram Madurai Elavarasan ◽  
R. Sowmya
Keyword(s):  
Parameter Identification ◽  
Solar Photovoltaic ◽  
Diversity Maintenance ◽  
Balance Analysis ◽  
Gradient Based

Parameter identification for on-line model updating in hybrid simulations using a gradient-based method

2017 ◽  
Vol 47 (2) ◽  
pp. 269-293 ◽  
Author(s):  
Ming-Chieh Chuang ◽  
Shang-Hsien Hsieh ◽  
Keh-Chyuan Tsai ◽  
Chao-Hsien Li ◽  
Kung-Juin Wang ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Model Updating ◽  
Line Model ◽  
Gradient Based ◽  
On Line ◽  
Hybrid Simulations

scholarly journals Gradient based iterative parameter identification for Wiener nonlinear systems

2013 ◽  
Vol 37 (16-17) ◽  
pp. 8203-8209 ◽  
Author(s):  
Lincheng Zhou ◽  
Xiangli Li ◽  
Feng Pan
Keyword(s):  
Nonlinear Systems ◽  
Parameter Identification ◽  
Gradient Based

scholarly journals Towards dynamic PET reconstruction under flow conditions: Parameter identification in a PDE model

2018 ◽  
Vol 26 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Louise Reips ◽  
Martin Burger ◽  
Ralf Engbers
Keyword(s):  
Inverse Problem ◽  
Parameter Identification ◽  
Reaction Diffusion ◽  
Reaction Diffusion Equations ◽  
Test Cases ◽  
Flow Conditions ◽  
Flow Properties ◽  
Transport Reaction ◽  
Gradient Based ◽  
Pet Reconstruction

AbstractThe aim of this paper is to discuss potential advances in PET kinetic models and direct reconstruction of kinetic parameters. As a prominent example we focus on a typical task in perfusion imaging and derive a system of transport-reaction-diffusion equations, which is able to include macroscopic flow properties in addition to the usual exchange between arteries, veins, and tissues. For this system we propose an inverse problem of estimating all relevant parameters from PET data. We interpret the parameter identification as a nonlinear inverse problem, for which we formulate and analyze variational regularization approaches. For the numerical solution we employ gradient-based methods and appropriate splitting methods, which are used to investigate some test cases.

scholarly journals Identification of Solar Photovoltaic Model Parameters using an Improved Gradient-Based Optimization Algorithm with Chaotic Drifts

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
M. Premkumar ◽  
Pradeep Jangir ◽  
C. Ramakrishnan ◽  
G. Nalinipriya ◽  
Hassan Haes Alhelou ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Model Parameters ◽  
Solar Photovoltaic ◽  
Gradient Based
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