Controllable and tolerable generalized eigenvectors of interval max-plus matrices

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, CYBERNETICS Kybernetika Pub Date : 2022-01-30 DOI:10.14736/kyb-2021-6-0922
Matej Gazda, J. Plávka
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Abstract

By max-plus algebra we mean the set of reals R equipped with the operations a ⊕ b = max { a, b } and a ⊗ b = a + b for a, b ∈ R . A vector x is said to be a generalized eigenvector of max-plus matrices A, B ∈ R ( m, n ) if A ⊗ x = λ ⊗ B ⊗ x for some λ ∈ R . The investigation of properties of generalized eigenvectors is important for the applications. The values of vector or matrix inputs in practice are usually not exact numbers and they can be rather considered as values in some intervals. In this paper the properties of matrices and vectors with inexact (interval) entries are studied and complete solutions of the controllable, the tolerable and the strong generalized eigenproblem in max-plus algebra are presented. As a consequence of the obtained results, efficient algorithms for checking equivalent conditions are introduced.
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区间极大加矩阵的可控制和可容忍广义特征向量
我们所说的max-plus代数是指对a, b∈R具有运算a⊕b = max {a, b}和a⊗b = a + b的实数R的集合。对于某些λ∈R,如果A⊗x = λ⊗B⊗x,则向量x是极大加矩阵A, B∈R (m, n)的广义特征向量。研究广义特征向量的性质对其应用具有重要意义。在实践中,向量或矩阵输入的值通常不是精确的数字,它们可以被看作是某个区间内的值。本文研究了具有非精确(区间)项的矩阵和向量的性质,给出了极大加代数中可控、可容忍和强广义特征问题的完全解。根据所得结果,介绍了检查等效条件的有效算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kybernetika
Kybernetika 工程技术-计算机:控制论
CiteScore
1.30
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍: Kybernetika is the bi-monthly international journal dedicated for rapid publication of high-quality, peer-reviewed research articles in fields covered by its title. The journal is published by Nakladatelství Academia, Centre of Administration and Operations of the Czech Academy of Sciences for the Institute of Information Theory and Automation of The Czech Academy of Sciences. Kybernetika traditionally publishes research results in the fields of Control Sciences, Information Sciences, Statistical Decision Making, Applied Probability Theory, Random Processes, Operations Research, Fuzziness and Uncertainty Theories, as well as in the topics closely related to the above fields.
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