Data-driven tracking consensus for a class of unknown nonlinear multi-agent systems-Reference-Cited by-同舟云学术

Data-driven tracking consensus for a class of unknown nonlinear multi-agent systems

Published:2021-08-05 Issue: Volume: Page:107754632110340
ISSN:1077-5463
Container-title:Journal of Vibration and Control
language:en
Short-container-title:Journal of Vibration and Control

Author:

Wu Jia¹²^ORCID,Liu Ning¹,Tang Wenyan¹^ORCID

Affiliation:

1. School of Automation and Electronic Information, Xiangtan University, Hunan Xiangtan, China

2. The Key Laboratory of Electric Drive and Control of Anhui Higher Education Institutes, Anhui Polytechnic University, Anhui Wuhu, China

Abstract

This study investigates the tracking consensus problem for a class of unknown nonlinear multi-agent systems A novel data-driven protocol for this problem is proposed by using the model-free adaptive control method To obtain faster convergence speed, one-step-ahead desired signal is introduced to construct the novel protocol Here, switching communication topology is considered, which is not required to be strongly connected all the time Through rigorous analysis, sufficient conditions are given to guarantee that the tracking errors of all agents are convergent under the novel protocol Examples are given to validate the effectiveness of results derived in this article

Funder

General Project of Hunan Province Education Department

Open Fund of The Key Laboratory of Electric Drive and Control of Anhui Higher Education Institutes

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/10775463211034049

Reference25 articles.

1. Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control

2. The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems

3. Robust optimal control and identification of adaptive cruise control systems in the presence of time delay and parameter uncertainties

4. Decentralized second-order adaptive protocol of multi-agent systems with nonlinear disturbance based on only onboard partial measurement

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