Pavlenko S. Methods and tools for identification nonlinear dynamical systems with using Volterra models.

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0417U002829

Thesis Registration Form

0417U002829.pdf

Applicant for

Specialization

  • 01.05.02 - Математичне моделювання та обчислювальні методи

27-07-2017

Specialized Academic Board

К 41.052.11

Odessa National Polytechnic University

Essay

On the basis of theoretical and experimental studies developed by the new effective methods and computational algorithms for the identification of nonlinear dynamic systems in the time domain, and the corresponding software tools, which provide building models of objects identification in the form of a sequence of Volterra kernels on the experimental data of observations of "input - output" to account for any variations in measurements.

Read more

Files

aref.pdf

dis.pdf

Similar theses

0423U100159

Yuliya A. Senyk

Modeling and researching of size effects in electroconductive bodies

0523U100127

Kashpur Olena Fedorivna

Interpolation of operators in Hilbert and Euclidean spaces

0423U100110

Kurash Serhii Yu.

Mathematical modeling of the reaction of buildings and structures to explosive effects

0523U100103

Shevchenko Serhii Stanislavovich

Mathematical models of processes in centrifugal machines sealing systems

0523U100042

Melnyk Andriy Mykolayovych

Knowledge-driven software systems for interval analysis and modeling of complex objects