Parametric identification of nonlinear systems using multiple trials
العنوان: | Parametric identification of nonlinear systems using multiple trials |
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المؤلفون: | S. Narayanan, Chandramouli Padmanabhan, M. D. Narayanan |
المصدر: | Nonlinear Dynamics. 48:341-360 |
بيانات النشر: | Springer Science and Business Media LLC, 2007. |
سنة النشر: | 2007 |
مصطلحات موضوعية: | Optimization, Data structures, Multiple trials, Aerospace Engineering, Ocean Engineering, Least squares approximations, Harmonic balance (HB) method, Matrix algebra, Single test, Harmonic balance, Control theory, Parameter estimation, Nonlinear systems, Electrical and Electronic Engineering, Parametric identification, Mathematics, Nonlinear system identification, Applied Mathematics, Mechanical Engineering, Inversion (meteorology), Harmonic excitations, Nonlinear system, Error analysis, Control and Systems Engineering, Periodic orbits, Algorithm, Test data |
الوصف: | It is observed that the harmonic balance (HB) method of parametric identification of nonlinear system may not give right identification results for a single test data. A multiple-trial HB scheme is suggested to obtain improved results in the identification, compared with a single sample test. Several independent tests are conducted by subjecting the system to a range of harmonic excitations. The individual data sets are combined to obtain the matrix for inversion. This leads to the mean square error minimization of the entire set of periodic orbits. It is shown that the combination of independent test data gives correct results even in the case where the individual data sets give wrong results. � Springer Science+Business Media, Inc. 2007. |
تدمد: | 1573-269X 0924-090X |
DOI: | 10.1007/s11071-006-9085-1 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::627fe2775b487ff89a3095ccf32d48b2 https://doi.org/10.1007/s11071-006-9085-1 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....627fe2775b487ff89a3095ccf32d48b2 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 1573269X 0924090X |
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DOI: | 10.1007/s11071-006-9085-1 |