Fixed-Time Consensus for High-Order Multi-Agent Systems with Nonlinear Uncertainties and Disturbances via Event-Triggered Control

Yani Zhang, Feng Pan, Rongxin Cui, Xinxin Guo, Shouxu Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper delves into the fixed-time consensus tracking problem within high-order multi-agent systems characterized by unknown uncertainties and disturbances. To mitigate the impact of unknown terms, we leverage the approximation capabilities of RBF neural networks to approximate the nonlinear uncertainties and design disturbance observers to estimate external disturbances. To reserve communication and computing resource utilization, we propose a fixed-time event-triggered controller and validate that the systems avoid exhibiting Zeno behavior. Ultimately, the efficacy of our proposed approach is substantiated through simulation.

源语言英语
主期刊名2023 IEEE International Conference on Development and Learning, ICDL 2023
出版商Institute of Electrical and Electronics Engineers Inc.
127-132
页数6
ISBN(电子版)9781665470759
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Development and Learning, ICDL 2023 - Macau, 中国
期限: 9 11月 202311 11月 2023

出版系列

姓名2023 IEEE International Conference on Development and Learning, ICDL 2023

会议

会议2023 IEEE International Conference on Development and Learning, ICDL 2023
国家/地区中国
Macau
时期9/11/2311/11/23

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