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Showing 1 to 20 of 110 for “"Parameter identification"”.
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Parameter identification in distributed structures
… dissertation develops two new techniques for the identification of parameters in distributed-parameter systems. The first technique identifies the physical parameter distributions such as mass, damping and stiffness. The second technique identifies the modal quantities of self-adjoint …
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Aerodynamic Parameter Identification of a Venus Lander
An analysis was conducted to identify the parameters of an aerodynamic model for a Venus lander based on experimental free-flight data. The experimental free-flight data were collected in the NASA Langley 20-ft Vertical Spin Tunnel with a 25-percent Froude-scaled model. The experimental data were …
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OnBoard Parameter Identification for a Small UAV
… possible failure scenarios. Thus, a real-time parameter identification program eliminates the need to have predefined models for all potential failure scenarios. The goal of this research was to identify the dimensional stability and control derivatives of the WVU Phastball UAV in flight using …
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Parameter identification of nonuniform distributed RC networks
<p>"The problem of the unique parameter identification of nonuniform distributed RC networks is addressed in this dissertation. Previous literature provides for the equivalence of distributed networks with respect to the terminal characteristics. Therefore, the question is whether unique parameter …
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Adaptive Finite Element Methods for Parameter Identification Problems
The aim of this work is the analysis of parameter identification problems and the development of efficient numerical algorithms for their solution, based on adaptive finite element methods. Since, in general, the computational effort for solving the arising optimization problems exceeds …
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Parameter Identification for the Preisach Model of Hysteresis
Hysteresis, defined as a rate independent memory effect, is a phenomenon that occurs in many physical systems. The effect is sometimes desired, sometimes a nuisance, sometimes catastrophic, but in every case we must understand hysteresis if we are to better understand the system itself. While the …
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Parameter identification and control of distributed-parameter systems
Two methods, one for the identification and one for the control implementation of distributed-parameter systems are presented. The methods are designed to identify and control the actual distributed system, without resorting to discretization. They are implemented using discrete sensors and …
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Parameter identification of induction motor using a genetic algorithm
… employed to identify the electric parameters of induction motors. The variables used to calculate the electric parameters are the measured stator currents, stator voltages and rotor speed. The variables are acquired by using Data Acquisition System and Lab VIEW Software. Free …
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Parameter Identification of Vibrating Second-Order Hyperbolic Distributed Systems
Made available in DSpace on 2014-12-10T22:48:24Z (GMT). No. of bitstreams: 1 7414558.pdf: 4625943 bytes, checksum: b8df327ebf61844db292feea8e5d3aa2 (MD5) Previous issue date: 1974
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Global parameter identification and control of nonlinearly parameterized systems
Nonlinearly parameterized (NLP) systems are ubiquitous in nature and many fields of science and engineering. Despite the wide and diverse range of applications, there exist relatively few results in control systems literature which exploit the structure of the nonlinear parameterization. A vast …
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Parameter identification in parabolic partial differential equations using quasilinearization
… in parabolic partial differential equations. The identification scheme is based on quasilinearization and is applied to both linear and nonlinear equations where the unknown coefficients may be spatially varying. Our investigation includes derivation, convergence, and numerical testing of the …
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Motor simulation and parameter identification in a reciprocating mechanism
… the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating …
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Type-C wind turbine model order reduction and parameter identification
… power data measured from a real wind turbine. A parameter identification problem is also explored using the same data set. This analysis shows that turbine parameters can be estimated during normal operation of the machine. This technique may also be used in planning studies or to identify …
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Soft computing based parameter identification in pavements and geomechanical systems
… of the mapping from the pavement layer parameters to the FWD deflections. The insensitivity of some layer properties lowered SOFTSYS model performances. Still, SOFTSYS models were shown to work effectively with the synthetic data obtained from ILLI-PAVE finite element solutions. In …
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Parameter identification and modelling for the prediction of voltage distortion
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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On the Effects of Noise on Parameter Identification Optimization Problems
The calibration of model parameters is an important step in model development. Commonly, system output is measured, and model parameters are iteratively varied until the model output is a good match to the measured system output. Optimization algorithms are often used to identify the model …
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Parameter identification in linear and nonlinear parabolic partial differential equations
… of the solution with respect to the unknown parameters. For linear parabolic partial differential equations, only mild conditions are assumed on the admissible parameter space. The nonlinear partial differential equation we consider is a generalized Burgers’ equation, for which we establish …
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Adjoint approach to parameter identification with application to the Richards equation
The inverse problem for the unknown coefficient ingredient of a class of quasilinear parabolic partial differential equations is considered. An approach based on utilizing adjoint versions of the direct problems to derive integral equations explicitly relating changes in inputs (coefficients) to …
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Numerical modelling of rubber hyperelasticity, parameter identification and finite element implementations
… modelling with homogeneous experimental parameter identification, implementing hyperelasticity in the Finite Element Method and simulating the hyperelastic behaviour of industrial rubber components.;Postulated conditions are proposed to ensure the physical plausibility of hyperelastic …
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