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Reply to determining structural identifiability of parameter learning machines [PDF]
, 2016 The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on ...
Cole, Diana J.
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Identification of the parameters of a DC motor state space model
Vojnotehnički Glasnik, 2013 A method for the identification of the DC state space model parameters based on the minimization of the error function using the least squares method is described in this paper.
Momir Ranislav Stanković +2 more
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Identification of a nonlinear dynamic biological model using the dominant parameter selection method [PDF]
, 2010 The identification of nonlinear models sometimes encounters problems because of the limited amount of available measurements in combination with a large number of uncertain model parameters to be identified.
Gutman Per-O +2 more
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Data-Driven Electrode Parameter Identification for Vanadium Redox Flow Batteries Through Experimental and Numerical Methods [PDF]
, 2020 The vanadium redox flow battery (VRFB) is a promising energy storage technology for stationary applications (e.g., renewables integration) that offers a pathway to cost-effectiveness through independent scaling of power and energy as well as longevity ...
Kevin M., Tenny +7 more
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Comparison of Parameter Identification Techniques
MATEC Web of Conferences, 2016 Model-based control of mechatronic systems requires excellent knowledge about the physical behavior of each component. For several types of components of a system, e.g.
Eder Rafael +2 more
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A technology for online parameter identification of permanent magnet synchronous motor
CES Transactions on Electrical Machines and Systems, 2020 Accuracy of the motor parameters is important in realizing high performance control of permanent magnet synchronous motor (PMSM). However, the inductance and resistance of motor winding vary with the change of temperature, rotor position and current ...
XiaoJun Ma, Chao Bi
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New Parameter Identification Method for Supercapacitor Model
IEEE Access, 2023 The paper introduces a straightforward procedure for estimating the electrical parameters of a simple, but reasonably accurate, two-branches model of a supercapacitor (SC).
Sergio Marin-Coca +4 more
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Parameter Identifiability and Redundancy: Theoretical Considerations [PDF]
, 2010 Background - Models for complex biological systems may involve a large number of parameters. It may well be that some of these parameters cannot be derived from observed data via regression techniques.
Wolfgang F Heidenreich +10 more
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Grey-box model identification via evolutionary computing [PDF]
, 2002 This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate ...
Y. Li, Li, Y., K.C. Tan, Tan, K.C.
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BatteriesAccurate state of charge (SOC) estimation is crucial for the safety, reliability, and energy efficiency of lithium-ion battery systems. However, variations in battery parameters and the loss of historical information during the update steps of ...
Liteng Zeng +4 more
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