Results 301 to 310 of about 1,812,122 (351)

Causal parameter identification †

International Journal of Systems Science, 1978
Consider a system T which is dependent on a parameter tuplet λ∊RRThe map λ→T( λ) is linearized about an a priori point λo, Parameter identification consists of using the observation (u,T( λ)u) to invert the linearized λ→T( λ) map. State variable realization of this inverse function and related topics are developed.
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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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Nonlinear Runoff Modeling: Parameter Identification

Journal of Hydraulic Engineering, 1983
A nonlinear functional rainfall‐runoff model is applied to an urban watershed (Curotte‐Papineau, Montreal) and the results are compared with those from the ILLUDAS model. Simulations are performed using a 5 minute time interval in order to better define the characteristics of the hydrographs.
Gilles G. Patry, Miguel A. Mariño
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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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Parameter Identification Problems

1998
In the preceding chapters we started from a mathematical description of a mechanical system and used it to predict its behavior.
Edda Eich-Soellner, Claus Führer
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PARAMETERS IDENTIFICATION IN BIOLOGICAL SYSTEMS

Kybernetes, 1981
Many bio‐medical models leads to differential systems. Some coefficients (exchange parameters,…) must be identified from partial observation on the system's solution. We suggest methods to study the existence and unicity of the identification problem.
Cherruault, Y., Guillez, A.
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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 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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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 linear distributed parameter systems

IEEE Transactions on Automatic Control, 1973
Perturbation analysis is used to identify unknown but constant parameters in a linear distributed parameter system. Noisy observations are assumed to be available at a finite number of spatial locations. A numerical example is solved to illustrate the proposed method.
Bhagavan, B. K., Nardizzi, L. R.
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