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JOURNALS // Upravlenie Bol'shimi Sistemami // Archive

UBS, 2016 Issue 60, Pages 82–118 (Mi ubs863)

This article is cited in 1 paper

Network-based models in Control

Allocation of resource among attractor-vertices in nonsymmetric regular resource networks

L. Yu. Zhilyakova

Institute of Control Sciences of RAS

Abstract: We study nonsymmetric regular resource networks with several attractor-vertices. In these networks there exists a threshold value of total resource $W = T$, such that for any initial distribution the limit state is uniquely determined, but when $W > T$ extra resource $\Delta W = W-T$ allocates among attractor-vertices depending on the initial state. We prove that this allocation obeys the same law as the allocation in corresponding absorbing network (derived from asymmetric by deletion output edges of attractors). However, there are adjustments dependent on the graph characteristics and the initial distribution of resources. The upper bounds of these adjustments are estimated. The initial states are determined that lead to precise limit states with no adjustments.

Keywords: resource network, graph dynamic threshold model, attractor-vertices, limit state.

UDC: 519.177
BBK: 22.18

Received: August 31, 2015
Published: March 31, 2016


 English version:
Automation and Remote Control, 2019, 80:8, 1519–1540

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© Steklov Math. Inst. of RAS, 2026