Shatalov, MFedotov, I2010-09-302010-09-302007-08Shatalov, 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 1-91443-5764http://hdl.handle.net/10204/4420http://ajmaa.org/RGMIA/papers/v10n1/Australia_Extra_Final.pdfIn 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.enDynamical systemsQuadrature rulesLeast squares methodArticleShatalov, M., & Fedotov, I. (2007). On identification of dynamic system parameters from experimental data. http://hdl.handle.net/10204/4420Shatalov, M, and I Fedotov "On identification of dynamic system parameters from experimental data." (2007) http://hdl.handle.net/10204/4420Shatalov M, Fedotov I. On identification of dynamic system parameters from experimental data. 2007; http://hdl.handle.net/10204/4420.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 -