Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises

The paper states a problem and considers two possible methods to estimate the anisotropic norm upper bound for discrete multiplicative noise systems. Shows that standard algorithms of anisotropic norm counting are disabled for multiplicative noise systems. It is impossible to design “the worst” form...

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Main Author: A. V. Yurchenkov
Format: Article
Language:Russian
Published: MGTU im. N.È. Baumana 2017-09-01
Series:Matematika i Matematičeskoe Modelirovanie
Subjects:
Online Access:https://www.mathmelpub.ru/jour/article/view/75
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author A. V. Yurchenkov
author_facet A. V. Yurchenkov
author_sort A. V. Yurchenkov
collection DOAJ
description The paper states a problem and considers two possible methods to estimate the anisotropic norm upper bound for discrete multiplicative noise systems. Shows that standard algorithms of anisotropic norm counting are disabled for multiplicative noise systems. It is impossible to design “the worst” former filter with bounded mean anisotropy because of the noise components in the mathematical description of the system. Such a filter generates a sequence producing the gain maximum as an induced norm. Since there is no algorithm to calculate an anisotropic norm for multiplicative systems a problem of upper bound evaluation is considered. The main result includes two methods. Both of them use an idea of synthesis of some systems without noises. The first algorithm uses a parametric uncertain model with majorant anisotropic norm for original multiplicative noise system. The second one uses decomposition of original systems into two separate subsystems with outputs equivalent to multiplicative noise system output.The article describes advantage and disadvantage of each method. Both algorithms are based on the bounded real lemma widely used in anisotropic theory. Thanks to this lemma a problem of the upper bound anisotropic norm computation is formulated in terms of solvability of specialized matrix systems of inequalities and equalities. The specialized matrix system is convex. That’s why it is possible to find a solution by means of standard semidefinite programming procedure. The MATLAB contains many optimization methods, for example, yalmip with SeDuMi solver is feasible for the problem under consideration. The article presents different values of anisotropic norm of mechanical oscillator system for different values of mean anisotropy input level. Results are given in tabular form.
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spelling doaj.art-8231313c4a0b4c5ea77bde8cb6c2e1cb2022-12-22T01:48:00ZrusMGTU im. N.È. BaumanaMatematika i Matematičeskoe Modelirovanie2412-59112017-09-0104284171Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative NoisesA. V. Yurchenkov0Bauman Moscow State Technical University, Moscow; V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, MoscowThe paper states a problem and considers two possible methods to estimate the anisotropic norm upper bound for discrete multiplicative noise systems. Shows that standard algorithms of anisotropic norm counting are disabled for multiplicative noise systems. It is impossible to design “the worst” former filter with bounded mean anisotropy because of the noise components in the mathematical description of the system. Such a filter generates a sequence producing the gain maximum as an induced norm. Since there is no algorithm to calculate an anisotropic norm for multiplicative systems a problem of upper bound evaluation is considered. The main result includes two methods. Both of them use an idea of synthesis of some systems without noises. The first algorithm uses a parametric uncertain model with majorant anisotropic norm for original multiplicative noise system. The second one uses decomposition of original systems into two separate subsystems with outputs equivalent to multiplicative noise system output.The article describes advantage and disadvantage of each method. Both algorithms are based on the bounded real lemma widely used in anisotropic theory. Thanks to this lemma a problem of the upper bound anisotropic norm computation is formulated in terms of solvability of specialized matrix systems of inequalities and equalities. The specialized matrix system is convex. That’s why it is possible to find a solution by means of standard semidefinite programming procedure. The MATLAB contains many optimization methods, for example, yalmip with SeDuMi solver is feasible for the problem under consideration. The article presents different values of anisotropic norm of mechanical oscillator system for different values of mean anisotropy input level. Results are given in tabular form.https://www.mathmelpub.ru/jour/article/view/75multiplicative noisesanisotropic theoryrobustness
spellingShingle A. V. Yurchenkov
Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
Matematika i Matematičeskoe Modelirovanie
multiplicative noises
anisotropic theory
robustness
title Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
title_full Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
title_fullStr Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
title_full_unstemmed Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
title_short Anisotropic Norm Estimation for Discrete Time-Invariant System with Multiplicative Noises
title_sort anisotropic norm estimation for discrete time invariant system with multiplicative noises
topic multiplicative noises
anisotropic theory
robustness
url https://www.mathmelpub.ru/jour/article/view/75
work_keys_str_mv AT avyurchenkov anisotropicnormestimationfordiscretetimeinvariantsystemwithmultiplicativenoises