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dc.contributor.authorSolodusha, Svetlana V.-
dc.date.accessioned2018-07-18T11:59:54Z-
dc.date.available2018-07-18T11:59:54Z-
dc.date.issued2018-06-
dc.identifier.citationSolodusha S. V. Quadratic and cubic Volterra polynomials: identification and application. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2018, vol. 14, iss. 2, pp. 131–144.en_GB
dc.identifier.other10.21638/11702/spbu10.2018.205-
dc.identifier.urihttp://hdl.handle.net/11701/10443-
dc.description.abstractVolterra kernels identification is the main problem in constructing an input-output type mathematical model of nonlinear dynamical system by a Volterra polynomial of Nth order. Currently, various algorithms for solving this problem are proposed. Usually, it is assumed that the decomposition of the dynamical system response y(t) into components is preliminarily performed. Each of components is due to the influence of the concrete integral term. In general, the separation problem is invariant with respect to a particular family of test actions, and the choice of amplitudes of the test signals used to identify the Volterra kernels is related to the necessary conditions for the solvability of the corresponding multidimensional integral equations in special classes of functions. In the present paper, existence theorems for solutions of two-dimensional and three-dimensional Volterra integral equations of the first kind are given. This result is obtained in terms of the amplitudes of the test signals. This will allow us to remove the arbitrariness in the choice of amplitudes in construction of the quadratic and cubic Volterra polynomials in the case when external action x(t) = (x1(t), x2(t))T is a vector function of time. Illustrative calculations are given through the dynamic reference systems.en_GB
dc.description.sponsorshipРабота выполнена при частичной финансовой поддержке Российского фонда фундаментальных исследований (грант №15-01-01425а) и Программы фундаментальных исследований Сибирского отделения РАН (проект № АААА-А17-117030310446-6).en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesVestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 14; Issue 2-
dc.subjectidentificationen_GB
dc.subjectVolterra kernelsen_GB
dc.subjectintegral equationsen_GB
dc.subjectmathematical modelingen_GB
dc.titleQuadratic and cubic Volterra polynomials: identification and applicationen_GB
dc.typeArticleen_GB
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