Results 181 to 190 of about 8,161 (219)

Parameter identification in epidemic models

Mathematical Biosciences, 2011
Starting from a recent paper of Pollicott, Wang and Weiss we try to obtain improved representation formulas for the estimation of the time-dependent transmission rate of an epidemic in terms of either incidence or prevalence data. Although the formulas are (trivially) mathematically equivalent to previous formulas, the new representations need no ...
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Parameter identification of distributed parameter systems

Mathematical Biosciences, 1985
The problem of parameter identification for distributed parameter systems is placed in an abstract system-theoretic context, and necessary and sufficient conditions developed for parameter identifiability. Applications are given for parabolic partial differential equations.
Travis, C. C., White, L. W.
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Identification of Parameters in a Freeway Traffic Model

IEEE Transactions on Systems, Man, and Cybernetics, 1976
The methodology of discrete time, extended Kalman filtering is applied to the problem of identifying parameters of a macroscopic freeway traffic model. Macroscopic models provide a representation of traffic flow in terms of its gross properties, i.e., volume, density, and speed.
Mohinder S. Grewal, Harold J. Payne
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Parameter Identification Problem for a Class of Distributed Parameter Systems

IFAC Proceedings Volumes, 1983
Summary: The inverse parameter problem of the permeable law for the fracture reservoir with double porosity is of great importance in the exploitation of oil or gas. The total compressibility and permeability are the unknown geological parameters in the fluid motion equations. In this paper we discuss the inverse parameter problem from the point of the
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Identification and application of bounded-parameter models

Automatica, 1985
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Parameter identification and control of distributed-parameter systems.

2017
Ph. D.
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Identification of parameters in distributed parameter systems

2011
This thesis deals with the identification of parameters in distributed parameter systems. Two sensitivity methods, namely; Meissinger's method and the method of structural sensitivity are extended to obtain the sensitivity coefficients of discretized distributed parameter systems.
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Target identification of natural medicine with chemical proteomics approach: probe synthesis, target fishing and protein identification

Signal Transduction and Targeted Therapy, 2020
Chang Zou, Bo Zhu, Jigang Wang
exaly  

Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence

Energy Storage Materials, 2022
Florian Ringbeck, Weihan Li, Dirk Uwe Sauer   +2 more
exaly  

Identification of parameters

2007
J André, A Furukawa
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