Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism

Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism

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...

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Main Authors: Xiang Yan, Hongbo Li, Lide Wang, Ping Shen
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/540687
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spelling doaj-6144cca358ee400ea3a8766cdf7cdb0f2020-11-25T00:34:32ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/540687540687Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction MechanismXiang Yan0Hongbo Li1Lide Wang2Ping Shen3School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing 100084, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThis 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.http://dx.doi.org/10.1155/2013/540687
collection DOAJ
language English
format Article
sources DOAJ
author Xiang Yan
Hongbo Li
Lide Wang
Ping Shen
spellingShingle Xiang Yan
Hongbo Li
Lide Wang
Ping Shen
Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
Mathematical Problems in Engineering
author_facet Xiang Yan
Hongbo Li
Lide Wang
Ping Shen
author_sort Xiang Yan
title Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
title_short Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
title_full Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
title_fullStr Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
title_full_unstemmed Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism
title_sort optimal bandwidth scheduling of networked learning control system based on nash theory and auction mechanism
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/540687
work_keys_str_mv AT xiangyan optimalbandwidthschedulingofnetworkedlearningcontrolsystembasedonnashtheoryandauctionmechanism
AT hongboli optimalbandwidthschedulingofnetworkedlearningcontrolsystembasedonnashtheoryandauctionmechanism
AT lidewang optimalbandwidthschedulingofnetworkedlearningcontrolsystembasedonnashtheoryandauctionmechanism
AT pingshen optimalbandwidthschedulingofnetworkedlearningcontrolsystembasedonnashtheoryandauctionmechanism
_version_ 1725312897373962240

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