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On identification of dynamic system parameters from experimental data

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dc.contributor.author Shatalov, M
dc.contributor.author Fedotov, I
dc.date.accessioned 2010-09-30T07:17:32Z
dc.date.available 2010-09-30T07:17:32Z
dc.date.issued 2007-08
dc.identifier.citation Shatalov, M and Fedotov, I. 2007. On identification of dynamic system parameters from experimental data. Research group in mathematical inequalities and applications, Vol. 10(1), pp 1-9 en
dc.identifier.issn 1443-5764
dc.identifier.uri http://hdl.handle.net/10204/4420
dc.identifier.uri http://ajmaa.org/RGMIA/papers/v10n1/Australia_Extra_Final.pdf en
dc.description.abstract In this paper the authors present a new method of numerical evaluation of unknown coefficients of a dynamical system having available information about unknown phase trajectories at some time values. The method consists in the direct integration of given dynamical system with posterior application of a quadrature rules. Using the least square method and possible constraints we obtain a linear system for determining an unknown coefficient. A numerical example illustrates the method. en
dc.language.iso en en
dc.publisher Austral Internet Publishing en
dc.subject Dynamical systems en
dc.subject Quadrature rules en
dc.subject Least squares method en
dc.title On identification of dynamic system parameters from experimental data en
dc.type Article en
dc.identifier.apacitation Shatalov, M., & Fedotov, I. (2007). On identification of dynamic system parameters from experimental data. http://hdl.handle.net/10204/4420 en_ZA
dc.identifier.chicagocitation Shatalov, M, and I Fedotov "On identification of dynamic system parameters from experimental data." (2007) http://hdl.handle.net/10204/4420 en_ZA
dc.identifier.vancouvercitation Shatalov M, Fedotov I. On identification of dynamic system parameters from experimental data. 2007; http://hdl.handle.net/10204/4420. en_ZA
dc.identifier.ris TY - Article AU - Shatalov, M AU - Fedotov, I AB - In this paper the authors present a new method of numerical evaluation of unknown coefficients of a dynamical system having available information about unknown phase trajectories at some time values. The method consists in the direct integration of given dynamical system with posterior application of a quadrature rules. Using the least square method and possible constraints we obtain a linear system for determining an unknown coefficient. A numerical example illustrates the method. DA - 2007-08 DB - ResearchSpace DP - CSIR KW - Dynamical systems KW - Quadrature rules KW - Least squares method LK - https://researchspace.csir.co.za PY - 2007 SM - 1443-5764 T1 - On identification of dynamic system parameters from experimental data TI - On identification of dynamic system parameters from experimental data UR - http://hdl.handle.net/10204/4420 ER - en_ZA


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