Results 261 to 270 of about 560,784 (316)
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ACOUSTICAL ROAD PARAMETERS IDENTIFICATION
8th European Conference on Noise Control 2009, 2023Many 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 +2 more
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Parameter Identification of Sinusoids
IEEE Transactions on Automatic Control, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IDENTIFICATION OF SYSTEM PARAMETERS IN DISTRIBUTED PARAMETER SYSTEMS
IFAC Proceedings Volumes, 1990The 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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Recursive identification of lung parameters
Computer Methods and Programs in Biomedicine, 1989Determination 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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Identification of parameters in systems biology
Mathematical Biosciences, 2018We 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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Explicit Method for Parameter Identification
Journal of Guidance, Control, and Dynamics, 1997Summary: 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 industrial robots
Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002Models 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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Parameter identification for dynamic simulation
Proceedings of International Conference on Robotics and Automation, 2002Dynamic 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 +2 more
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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), 2002The 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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Analysis of a parameter identification problem
Applied Mathematics and Computation, 1997We 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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