Optimal bandwidth scheduling of networked learning control system based on Nash theory and auction mechanism
type: Item
instance of: scholarly article
title: Optimal bandwidth scheduling of networked learning control system based on Nash theory and auction mechanism
zbMATH Open document ID: 1299.90173
DOI: 10.1155/2013/540687
author: Xiang Yan
author: Lide Wang
author: Ping Shen
author: Hongbo Li
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: This paper addresses the optimal bandwidth scheduling problem for a double-layer networked learning control system (NLCS). To deal with this issue, auction mechanism is employed, and a dynamic bandwidth scheduling methodology is proposed to allocate the bandwidth for each subsystem. A noncooperative game fairness model is formulated, and the utility function of subsystems is designed. Under this framework, estimation of distribution algorithm (EDA) is used to obtain Nash equilibrium for NLCS. Finally, simulation and experimental results are given to demonstrate the effectiveness of the proposed approach.
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90B10
Mathematics Subject Classification ID: 91A80
Mathematics Subject Classification ID: 91B26
zbMATH DE Number: 6372485
Wikidata QID: Q59026414
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/540687
OpenAlex ID: W2148432106
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description: scientific article; zbMATH DE number 6372485