Event-Triggered Active MPC for Nonlinear Multiagent Systems with Packet Losses

Hongjiu Yang; Hai Zhao; Yuanqing Xia; Jinhui Zhang

doi:10.1109/TCYB.2019.2908389

Event-Triggered Active MPC for Nonlinear Multiagent Systems with Packet Losses

Hongjiu Yang^*, Hai Zhao, Yuanqing Xia, Jinhui Zhang

^*Corresponding author for this work

School of Automation

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

32 Citations (Scopus)

Abstract

In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at certain sampling instants. The prediction horizons of all agents are selected actively through the event-triggered mechanisms. Selecting a maximal predictive horizon, a common predictive horizon of the nonlinear MAS is obtained to ensure synchronous updating. The Bernoulli distributions are applied to describe the packet losses which are dealt with by model predictive control. Finally, the effectiveness of the proposed algorithm design is verified by a numerical simulation.

Original language	English
Article number	8693674
Pages (from-to)	3093-3102
Number of pages	10
Journal	IEEE Transactions on Cybernetics
Volume	51
Issue number	6
DOIs	https://doi.org/10.1109/TCYB.2019.2908389
Publication status	Published - Jun 2021

Keywords

Event-triggered mechanisms
model predictive control
multiagent systems (MASs)
packet losses
synchronous updating

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10.1109/TCYB.2019.2908389

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title = "Event-Triggered Active MPC for Nonlinear Multiagent Systems with Packet Losses",

abstract = "In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at certain sampling instants. The prediction horizons of all agents are selected actively through the event-triggered mechanisms. Selecting a maximal predictive horizon, a common predictive horizon of the nonlinear MAS is obtained to ensure synchronous updating. The Bernoulli distributions are applied to describe the packet losses which are dealt with by model predictive control. Finally, the effectiveness of the proposed algorithm design is verified by a numerical simulation.",

keywords = "Event-triggered mechanisms, model predictive control, multiagent systems (MASs), packet losses, synchronous updating",

author = "Hongjiu Yang and Hai Zhao and Yuanqing Xia and Jinhui Zhang",

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AB - In this paper, event-triggered active model predictive control is investigated for a nonlinear multiagent system (MAS) with packet losses. By designing event-triggered mechanisms which reduce sensing cost, event-triggered conditions are detected at certain sampling instants. The prediction horizons of all agents are selected actively through the event-triggered mechanisms. Selecting a maximal predictive horizon, a common predictive horizon of the nonlinear MAS is obtained to ensure synchronous updating. The Bernoulli distributions are applied to describe the packet losses which are dealt with by model predictive control. Finally, the effectiveness of the proposed algorithm design is verified by a numerical simulation.

KW - Event-triggered mechanisms

KW - model predictive control

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KW - packet losses

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Event-Triggered Active MPC for Nonlinear Multiagent Systems with Packet Losses

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