Results 161 to 170 of about 8,161 (219)

Remarks on Parameter Identification

SIAM Journal on Applied Mathematics, 1979
Suppose the values of the solution of a differential equation have been measured at discrete points in time. Then the continuous dependence of the undetermined coefficients on the data and the time intervals is proven for certain differential equations which arise in reaction kinetics.
Guenther, R. B., Schmidt, R.
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Identification of parameters in multilayer media

IEEE Transactions on Magnetics, 2000
Multilayer media are of increasing importance as magneto-optic and perpendicular media. The properties of successive layers evolve as the layers are epitaxially deposited. This complicates both the model for these media and the identification of the model parameters.
CARDELLI, Ermanno, Della Torre E., Alejos O., Fry R.   +3 more
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Parameter Identification in Photothermal Imaging

Journal of Mathematical Imaging and Vision, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ana Carpio, María-Luisa Rapún
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ACOUSTICAL ROAD PARAMETERS IDENTIFICATION

8th European Conference on Noise Control 2009, 2023
Many impedance models can be used for describing the acoustical behaviour of a road. These models rely on some intrinsic parameters (2,3 or 4), which are difficult to measure in the field. Therefore, the measurement of these parameters usually requires to destroy the structure.
Heinkele, Christophe, Golay, Francis, Dutilleux, Guillaume   +2 more
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Parameter Identification of Sinusoids

IEEE Transactions on Automatic Control, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IDENTIFICATION OF SYSTEM PARAMETERS IN DISTRIBUTED PARAMETER SYSTEMS

IFAC Proceedings Volumes, 1990
The problem of identifying system parameters for time-invariant distributed parameter systems subject to unknown boundary conditions and initial conditions is investigated. An extension of the linear integral filter is made for handling partial derivatives of multi-variable functions. In the noise-free case, applying the extended linear integral filter
S. Sagara, Zhen-Yu Zhao
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Explicit Method for Parameter Identification

Journal of Guidance, Control, and Dynamics, 1997
Summary: Parameter identification of dynamical systems through a new method that treats the unknown parameters as time dependent is reported. With appropriate observational data, the unknown system parameters are guided from an arbitrary initial condition to their true value at a final time.
Tadi, M., Rabitz, Herschel
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Identification of parameters in systems biology

Mathematical Biosciences, 2018
We consider the inverse problem for the identification of the finite dimensional set of parameters for systems of nonlinear ordinary differential equations (ODEs) arising in systems biology. A numerical method which combines Bellman's quasilinearization with sensitivity analysis and Tikhonov's regularization is implemented.
Abdulla, Ugur G., Poteau, Roby
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Parameter identification for industrial robots

Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002
Models and model parameters form the base of a computer aided planning of robot manipulations. The identification procedure presented determines the independent, dynamic parameters by trajectories of optimal excitation without the need of disassembling the robot. Joint parameters are identified by fixing the arms and performing static and dynamic tests
Friedrich Pfeiffer, Josef Hölzl
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Recursive identification of lung parameters

Computer Methods and Programs in Biomedicine, 1989
Determination of lung capacity (FRC) using insoluble gas washout or equilibrium methods is a common procedure in respiratory tests. The lung model can be extended to include multiple compartments with differing volumes and ventilation fractions. A discrete-time mathematical model of a multi-compartment lung was developed based on mass conservation laws
C P, Valcke, J S, Jenkins, D S, Ward
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