IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS

The paper proposes a numerical algorithm for constructing Lyapunov functions for investigating the absolute stability of nonlinear nonstationary systems. In the case of asymptotic stability of the system, the implementation of the algorithm will lead to the construction of the Lyapunov function leve...

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Main Author: V. P. Berdnikov
Format: Article
Language:Russian
Published: MIREA - Russian Technological University 2018-10-01
Series:Российский технологический журнал
Subjects:
Online Access:https://www.rtj-mirea.ru/jour/article/view/125
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spelling doaj-0202d7abf8fd4ba488b2cf6fe9cf46682021-07-28T13:30:10ZrusMIREA - Russian Technological UniversityРоссийский технологический журнал2500-316X2018-10-0165254410.32362/2500-316X-2018-6-5-25-44125IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMSV. P. Berdnikov0MIREA - Russian Technological UniversityThe paper proposes a numerical algorithm for constructing Lyapunov functions for investigating the absolute stability of nonlinear nonstationary systems. In the case of asymptotic stability of the system, the implementation of the algorithm will lead to the construction of the Lyapunov function level set in the form of a smooth closed surface of dimension equal to the dimension of the original system. To construct a smooth level set of the Lyapunov function, a new type of surface has been developed. Thus, the task of constructing the level set was reduced to a series of simple optimization problems, which guarantees the convergence of the algorithm. Unlike the algorithm for constructing piecewise linear Lyapunov functions, this algorithm analyses systems located near the stability boundary in an acceptable time. The relationship of this algorithm and methods based on frequency criteria and quadratic Lyapunov functions is shown. A significant improvement in the accuracy of estimates of the stability boundary was demonstrated in comparison with the classical methods. To achieve a balance between the accuracy and speed of the algorithm, recommendations on the choice of initial conditions are given.https://www.rtj-mirea.ru/jour/article/view/125differential inclusionsnonlinear nonstationary systemsabsolute stabilitylyapunov functionsstability areasbezier splinesbernstein polynomials
collection DOAJ
language Russian
format Article
sources DOAJ
author V. P. Berdnikov
spellingShingle V. P. Berdnikov
IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
Российский технологический журнал
differential inclusions
nonlinear nonstationary systems
absolute stability
lyapunov functions
stability areas
bezier splines
bernstein polynomials
author_facet V. P. Berdnikov
author_sort V. P. Berdnikov
title IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
title_short IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
title_full IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
title_fullStr IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
title_full_unstemmed IMPROVING THE EFFICIENCY OF THE PROCEDURE OF LYAPUNOV SPLINE-FUNCTIONS CONSTRUCTION FOR NONLINEAR NONSTATIONARY SYSTEMS
title_sort improving the efficiency of the procedure of lyapunov spline-functions construction for nonlinear nonstationary systems
publisher MIREA - Russian Technological University
series Российский технологический журнал
issn 2500-316X
publishDate 2018-10-01
description The paper proposes a numerical algorithm for constructing Lyapunov functions for investigating the absolute stability of nonlinear nonstationary systems. In the case of asymptotic stability of the system, the implementation of the algorithm will lead to the construction of the Lyapunov function level set in the form of a smooth closed surface of dimension equal to the dimension of the original system. To construct a smooth level set of the Lyapunov function, a new type of surface has been developed. Thus, the task of constructing the level set was reduced to a series of simple optimization problems, which guarantees the convergence of the algorithm. Unlike the algorithm for constructing piecewise linear Lyapunov functions, this algorithm analyses systems located near the stability boundary in an acceptable time. The relationship of this algorithm and methods based on frequency criteria and quadratic Lyapunov functions is shown. A significant improvement in the accuracy of estimates of the stability boundary was demonstrated in comparison with the classical methods. To achieve a balance between the accuracy and speed of the algorithm, recommendations on the choice of initial conditions are given.
topic differential inclusions
nonlinear nonstationary systems
absolute stability
lyapunov functions
stability areas
bezier splines
bernstein polynomials
url https://www.rtj-mirea.ru/jour/article/view/125
work_keys_str_mv AT vpberdnikov improvingtheefficiencyoftheprocedureoflyapunovsplinefunctionsconstructionfornonlinearnonstationarysystems
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