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Modeling of Dynamic Systems With Interval Parameters
Author(s) -
A. Yu. Morozov,
Д. Л. Ревизников
Publication year - 2019
Publication title -
modelling and data analysis
Language(s) - English
Resource type - Journals
eISSN - 2311-9454
pISSN - 2219-3758
DOI - 10.17759/mda.2019090401
Subject(s) - interval (graph theory) , interpolation (computer graphics) , computer science , software , infinity , algorithm , interval arithmetic , mathematical optimization , mathematics , artificial intelligence , programming language , motion (physics) , mathematical analysis , combinatorics , bounded function
The paper provides a review of existing libraries and methods of modeling dynamic systems with interval parameters. Available software libraries AWA, VNODELP, COZY Infinity, RiOT, FlowStar, as well as the author’s adaptive interpolation algorithm are considered. The traditional software for interval analysis gives guaranteed estimates of solutions, however, over time, these estimates become extremely significantly overstated. Due to the use of a fundamentally different approach to constructing solutions, the adaptive interpolation algorithm is not subject to the accumulation of errors, determines the boundaries of solutions with controlled accuracy, and works much faster than analogues.

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