Чисельна реалізація інтегральних динамічних моделей на основі методу вироджених ядер

The use of mathematical models of dynamic objects in the form of Volterra-type integral equations enables us to effectively solve a wide range of theoretical and practical research problems. The traditional approach to solving these equations is to use quadrature algorithms of different order of acc...

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Bibliographic Details
Date:2019
Main Authors: Верлань, Дмитро Анатолійович, Понеділок, Вадим Віталійович
Format: Article
Language:Ukrainian
Published: Kamianets-Podilskyi National Ivan Ohiienko University 2019
Online Access:http://mcm-tech.kpnu.edu.ua/article/view/184527
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Journal Title:Mathematical and computer modelling. Series: Technical sciences

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Mathematical and computer modelling. Series: Technical sciences
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Summary:The use of mathematical models of dynamic objects in the form of Volterra-type integral equations enables us to effectively solve a wide range of theoretical and practical research problems. The traditional approach to solving these equations is to use quadrature algorithms of different order of accuracy, which depends on the form of the Volterra kernel and the sampling step, which often leads to a lot of computational operations and software implementation problems in the general case. It is promising to use degenerate-kernels method algorithms to solve Volterra II kind equations, which have a significant advantage over the volume of computational operations over traditional direct-square algorithms. Algorithms for resolvent construction are considered, which helps to ensure the efficiency of the resolvent method of solving equations of this class. Therefore, the task of applying this method to solving Volterra equations (or equations of another type) leads to several new numerical algorithms whose properties need to be investigated. The practical value of the algorithms under development is the ability to build on them based software that is not contained in existing serial computer simulation packages. This gives the opportunity to compare the obtained algorithms with the known quadrature algorithms for performance, as the most important indicator for dynamic models of control systems