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Showing 1 to 15 of 15 for “"parametric identification"”.

  1. Parametric identification of nonlinear structural dynamic systems

    The identification of linear structural dynamic systems has been dealt with extensively in past studies. Identification methods for nonlinear structures have also been introduced in previous articles, including procedures based on the method of multiple scales, iterative and noniterative direct …

    vt Repository record for Parametric identification of nonlinear structural dynamic systems (opens in a new tab)

  2. Characterization of Dynamic Structures Using Parametric and Non-parametric System Identification Methods

    … important issues in structural dynamics. System identification is an important technique to characterize linear and nonlinear dynamic structures. The identification methods are usually classified into the parametric and non-parametric approaches based on how to model dynamic systems. The …

    ucf

  3. Identification of Finite-Degree-of-Freedom Models for Ship Motions

    … including time-domain, strip-theory, and system-identification-based predictions. Time-domain and strip-theory predictions suffer from several physical and computational limitations. In this work, we use system-identification techniques to predict ship motions. We establish an identification

    vt Repository record for Identification of Finite-Degree-of-Freedom Models for Ship Motions (opens in a new tab)

  4. Identification of nonlinear ship motion using perturbation techniques

    This thesis presents an identification scheme for the dynamic model of a ship at sea. We determine the form of the governing differential equations for a ship which is free to pitch and roll, but constrained in all other degrees of freedom, using a perturbation-energy technique. This technique …

    vt Repository record for Identification of nonlinear ship motion using perturbation techniques (opens in a new tab)

  5. Parameter Identification of Nonlinear Systems Using Perturbation Methods and Higher-Order Statistics

    A parametric identification procedure is proposed that combines the method of multiple scales and higher-order statistics to efficiently and accurately model nonlinear systems. A theoretical background for the method of multiple scales and higher-order statistics is given. Validation of the …

    vt Repository record for Parameter Identification of Nonlinear Systems Using Perturbation Methods and Higher-Order Statistics (opens in a new tab)

  6. Essays on Interviews and Matching

    … (CaRMS), and the third essay presents a formal identification result. In the first essay, I measure the impact of interviews on employers' preferences, and in the second essay, I measure the impact of reducing interviews on match outcomes. Both essays require me to quantify employers' …

    mit Repository record for Essays on Interviews and Matching (opens in a new tab)

  7. Nonlinear Vibrations of Cantilever Beams and Plates

    … mode to the low-frequency mode. An experimental parametric identification technique is developed for estimating the linear and nonlinear damping coefficients and effective nonlinearity of a metallic cantilever beam. This method is applicable to any single-degree-of-freedom nonlinear system with …

    vt Repository record for Nonlinear Vibrations of Cantilever Beams and Plates (opens in a new tab)

  8. Advantageous Utilization of Nonlinear Phenomena in Micro-Structures and Macro-Structures: Applications to Micro-Resonators and Atomic Force Microscopy

    … results. Through this work, a multi-variable, parametric identification scheme is developed for characterizing nonlinear oscillators from frequency-response data with jumps in the amplitude values. Parameter values are identified for piezoelectric micro-scale resonators and good agreement is …

    maryland Repository record for Advantageous Utilization of Nonlinear Phenomena in Micro-Structures and Macro-Structures: Applications to Micro-Resonators and Atomic Force Microscopy (opens in a new tab)

  9. Development and Applications of Finite Elements in Time Domain

    … to system parameters in many algorithms for parametric identification, an identification procedure based on the TFM is developed and tested for a number of nonlinear single-and two-degree-of-freedom system problems. An advantage of the TFM is the easy calculation of the sensitivity of the …

    vt Repository record for Development and Applications of Finite Elements in Time Domain (opens in a new tab)

  10. Essays on Health Economics

    … preferences. This chapter extends the semi-parametric identification and estimation method for dynamic discrete choice models using Hotz and Miller's (1993) conditional choice probability approach to the setting where individuals may have hyperbolic discounting time preferences and may be …

    duke Repository record for Essays on Health Economics (opens in a new tab)

  11. Automatic operational modal analysis: challenges and applications to historic structures and infrastructures

    … quality of results. Therefore, the use of parametric identification methods, like SSI methods, are explored and some recommendations concerning its application are provided. The identification process is combined with the automatic interpretation of stabilization diagrams based on a damping …

    cagliari Repository record for Automatic operational modal analysis: challenges and applications to historic structures and infrastructures (opens in a new tab)

  12. Nonlinear System Identification of Physical Parameters for Damage Prognosis and Localization in Structures

    … monitoring procedures using interrogative system identification techniques and determine sensitivities of physical parameters to damage. Additionally, vibration-based spectral quantities are related to physical properties of the structure under test. In this thesis, nonlinear response to …

    vt Repository record for Nonlinear System Identification of Physical Parameters for Damage Prognosis and Localization in Structures (opens in a new tab)

  13. Bayesovské přístupy pro adaptivní identifikaci systémů

    Práce se zabývá bayesovskou identifikací časově variantních normálních regresních modelů a skýtá celkem čtyři hlavní algoritmy. První dvě uvedené algoritmizace slouží pro průběžnou regularizovanou identifikaci jednoho regresního modelu. Neznámost časového vývoje tohoto modelu je u obou …

    brno-tech Repository record for Bayesovské přístupy pro adaptivní identifikaci systémů (opens in a new tab)