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Main Authors: Chang, Zeze, Jiao, Junjie, Li, Zhongkui
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2401.12707
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author Chang, Zeze
Jiao, Junjie
Li, Zhongkui
author_facet Chang, Zeze
Jiao, Junjie
Li, Zhongkui
contents This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state and input data. Both noiseless and noisy data-driven consensus protocols are presented, which can handle the challenge of the heterogeneity in control gains caused by the localized data sampling and achieve leader-follower consensus. The design of these data-driven consensus protocols involves low-dimensional linear matrix inequalities. In addition, the results are extended to the case where only the leader's data are collected and exploited. The effectiveness of the proposed methods is illustrated via simulation examples.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12707
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Localized Data-driven Consensus Control
Chang, Zeze
Jiao, Junjie
Li, Zhongkui
Systems and Control
This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state and input data. Both noiseless and noisy data-driven consensus protocols are presented, which can handle the challenge of the heterogeneity in control gains caused by the localized data sampling and achieve leader-follower consensus. The design of these data-driven consensus protocols involves low-dimensional linear matrix inequalities. In addition, the results are extended to the case where only the leader's data are collected and exploited. The effectiveness of the proposed methods is illustrated via simulation examples.
title Localized Data-driven Consensus Control
topic Systems and Control
url https://arxiv.org/abs/2401.12707