Results 241 to 250 of about 4,509,622 (292)

Parameter Identification of Sinusoids

IEEE Transactions on Automatic Control, 2012
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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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Parameter identification for dynamic simulation

Proceedings of International Conference on Robotics and Automation, 2002
Dynamic simulation is potentially a powerful tool for studying complex contact interactions between robots and their environments. One of the main problems of such a simulation is the determination of the model parameters which provide realistic behavior for objects. This paper describes how to identify such parameters for a masses/springs based system
Ammar Joukhadar, F. Garat, Christian Laugier   +2 more
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Analytical Modeling and Parameter Identification

Structures Congress 2008, 2008
SUMMARY When measurements are taken from complex structures, structural identification methodologies cannot reveal unique values for parameters with satisfactory reliability. This weakness is due in part to inaccurate analytical models of structures. For example, many modeling assumptions may not correspond to reality.
Smith, I.F.C., Yun, H.B
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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 induction motors. 2. Parameter subset identification

Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104), 2002
The model-based identification concept is applied to the problem of subset parameter identification and identification of repeated parameters in induction motors. The aim of the investigation is a simplification of the identifier dynamics with a reduction of the computational burden.
V. Pappano, S.E. Lyshevski, B. Friedland
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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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Analysis of a parameter identification problem

Applied Mathematics and Computation, 1997
We consider a special parameter identification problem occurring in marketing research, and give conditions on the empirical data which guarantee the existence of the solution to the problem. Furthermore, we analyze several different approaches and methods for solving this parameter identification problem.
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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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