Model predictive control for cloud-integrated networked multiagent systems under bandwidth allocation

Hongjiu Yang; Shuang Ju; Jinhui Zhang; Huanhuan Yuan

doi:10.1016/j.ins.2019.05.060

Model predictive control for cloud-integrated networked multiagent systems under bandwidth allocation

Hongjiu Yang, Shuang Ju, Jinhui Zhang^*, Huanhuan Yuan

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

In this paper, a model predictive control (MPC)strategy is investigated for a cloud-integrated networked multiagent system (NMAS)under bandwidth allocation. The cloud-integrated NMAS is established in cloud computing and network environments. A Stackelberg game is exploited to describe the bandwidth allocation on the cloud-integrated NMAS. With effects on the bandwidth allocation, time delays are compensated by the MPC strategy which is based on a multirate method. Equilibrium solutions and stability conditions are given for the Stackelberg game and the cloud-integrated NMAS, respectively. Effectiveness of the proposed strategy is demonstrated by simulation results.

Original language	English
Pages (from-to)	156-172
Number of pages	17
Journal	Information Sciences
Volume	500
DOIs	https://doi.org/10.1016/j.ins.2019.05.060
Publication status	Published - Oct 2019

Keywords

Bandwidth allocation
Cloud computing
Model predictive control
Multirate method
Networked multiagent system

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10.1016/j.ins.2019.05.060

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title = "Model predictive control for cloud-integrated networked multiagent systems under bandwidth allocation",

abstract = "In this paper, a model predictive control (MPC)strategy is investigated for a cloud-integrated networked multiagent system (NMAS)under bandwidth allocation. The cloud-integrated NMAS is established in cloud computing and network environments. A Stackelberg game is exploited to describe the bandwidth allocation on the cloud-integrated NMAS. With effects on the bandwidth allocation, time delays are compensated by the MPC strategy which is based on a multirate method. Equilibrium solutions and stability conditions are given for the Stackelberg game and the cloud-integrated NMAS, respectively. Effectiveness of the proposed strategy is demonstrated by simulation results.",

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author = "Hongjiu Yang and Shuang Ju and Jinhui Zhang and Huanhuan Yuan",

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AU - Yang, Hongjiu

AU - Ju, Shuang

AU - Zhang, Jinhui

AU - Yuan, Huanhuan

PY - 2019/10

Y1 - 2019/10

N2 - In this paper, a model predictive control (MPC)strategy is investigated for a cloud-integrated networked multiagent system (NMAS)under bandwidth allocation. The cloud-integrated NMAS is established in cloud computing and network environments. A Stackelberg game is exploited to describe the bandwidth allocation on the cloud-integrated NMAS. With effects on the bandwidth allocation, time delays are compensated by the MPC strategy which is based on a multirate method. Equilibrium solutions and stability conditions are given for the Stackelberg game and the cloud-integrated NMAS, respectively. Effectiveness of the proposed strategy is demonstrated by simulation results.

AB - In this paper, a model predictive control (MPC)strategy is investigated for a cloud-integrated networked multiagent system (NMAS)under bandwidth allocation. The cloud-integrated NMAS is established in cloud computing and network environments. A Stackelberg game is exploited to describe the bandwidth allocation on the cloud-integrated NMAS. With effects on the bandwidth allocation, time delays are compensated by the MPC strategy which is based on a multirate method. Equilibrium solutions and stability conditions are given for the Stackelberg game and the cloud-integrated NMAS, respectively. Effectiveness of the proposed strategy is demonstrated by simulation results.

KW - Bandwidth allocation

KW - Cloud computing

KW - Model predictive control

KW - Multirate method

KW - Networked multiagent system

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VL - 500

SP - 156

EP - 172

JO - Information Sciences

JF - Information Sciences

ER -

Model predictive control for cloud-integrated networked multiagent systems under bandwidth allocation

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Keywords

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