Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints
Sign Up to like & getrecommendations! Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2016.10.010
Abstract: Abstract-Photo-voltaic (PV) is a static medium to convert solar energy directly into electricity. In order to predict the performance of a PV system before being installed, a reliable and accurate model design of PV systems… read more here.
Keywords: binary constraints; swarm optimization; unknown parameters; model ... See more keywords
Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter
Sign Up to like & getrecommendations! Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2016.1033
Abstract: The parameter estimation problem for multi-input multi-output Hammerstein systems is considered. For the Hammerstein model to be identified, its dynamic time-invariant subsystem is described by a controlled autoregressive model with a communication delay. The modified… read more here.
Keywords: hierarchical identification; kalman filter; hammerstein systems; modified kalman ... See more keywords
On the Comprehensive Parametrization of the Photovoltaic (PV) Cells and Modules
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2016.2617038
Abstract: In the classical parametrization of the single-diode model of photovoltaic (PV) cells and modules based on the datasheet values, first, the values of the five unknown parameters of the PV model are extracted via the… read more here.
Keywords: translational formulas; parametrization; cells modules; photovoltaic cells ... See more keywords
Adaptive Estimation Approach for Parameter Identification of Photovoltaic Modules
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2016.2633815
Abstract: This paper presents a novel identification technique for estimation of unknown parameters in photovoltaic (PV) systems. A single-diode model is considered for the PV system, which consists of five unknown parameters. Using information about standard… read more here.
Keywords: estimation; estimation approach; unknown parameters; identification ... See more keywords
A Scalable Algorithm for Event-Triggered State Estimation With Unknown Parameters and Switching Topologies Over Sensor Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2917543
Abstract: An event-triggered distributed state estimation problem is investigated for a class of discrete-time nonlinear stochastic systems with unknown parameters over sensor networks (SNs) subject to switched topologies. An event-triggered communication strategy is employed to govern… read more here.
Keywords: event triggered; unknown parameters; state estimation; state ... See more keywords
Identifiability and numerical algebraic geometry
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0226299
Abstract: A common problem when analyzing models, such as mathematical modeling of a biological process, is to determine if the unknown parameters of the model can be determined from given input-output data. Identifiable models are models… read more here.
Keywords: numerical algebraic; algebraic geometry; identifiability; model ... See more keywords
The Combined-Unified Hybrid Censored Samples from Pareto Distribution: Estimation and Properties
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11136000
Abstract: In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood estimates of the unknown parameters, survival, and hazard functions of Pareto distribution. Next, we discuss some efficiency criteria of the… read more here.
Keywords: hybrid censored; unified hybrid; unknown parameters; combined unified ... See more keywords
Dynamic Load Identification for Structures with Unknown Parameters
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14112449
Abstract: The inverse problem and the direct problem are symmetrical to each other. As a mathematical method for inverse problems, dynamic load identification is applicable to the situation when the load acting on the structure is… read more here.
Keywords: dynamic load; structures unknown; method; load identification ... See more keywords