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Title: Event-triggered distributed sliding mode control of fractional-order nonlinear multi-agent systems
Authors: Jin, Yi
Xu, Yan
Liu, Gang
Jin, Zhenghong
Li, Huanhuan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: Jin, Y., Xu, Y., Liu, G., Jin, Z. & Li, H. (2023). Event-triggered distributed sliding mode control of fractional-order nonlinear multi-agent systems. Symmetry, 15(6), 1247-.
Journal: Symmetry 
Abstract: In this study, the state consensus problem is investigated for a class of nonlinear fractional-order multi-agent systems (FOMASs) by using a dynamics event-triggered sliding mode control approach. The main objective is to steer all agents to some bounded position based on their own information and the information of neighbor agent. Different from the existing results, both asymptotic consensus problem and Zeno-free behavior are ensured simultaneously. To reach this objective, a novel event-triggered sliding mode control approach is proposed, composed of distributed dynamic event-triggered schemes, event-triggered sliding mode controllers, and auxiliary switching functions. Moreover, to implement the distributed control scheme, the fractional-order adaptive law is also developed to tuning the coupling weight, which is addressed in distributed protocol. With the improved distributed control scheme, all signals in the fractional-order closed-loop systems are guaranteed to be consensus and bounded, and a novel approach is developed to avoid the Zeno behavior. Finally, the availability and the effectiveness of the above-mentioned approach are demonstrated by means of a numerical example.
ISSN: 2073-8994
DOI: 10.3390/sym15061247
Schools: School of Electrical and Electronic Engineering 
Rights: © 2023 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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