Observer-based quasi-consensus of fractional-order multi-agent systems via dynamic event-triggered boundary control

This paper addresses the quasi-consensus problem of fractional-order multi-agent systems (FOMASs) governed by partial differential equations under sensing and communication constraints. Two observer-based dynamic event-triggered boundary control strategies are proposed to estimate and regulate the system states in scenarios with partial spatial sensing and boundary sensing, respectively. Both a partial domain observer and a boundary observer of the Luenberger type are constructed to reconstruct the system dynamics under limited measurements. To reduce communication burden while maintaining control performance, dynamic event-triggered controllers with adaptive thresholds are developed. Rigorous Lyapunov-based analysis shows that the proposed strategies guarantee the achievement of quasi-consensus. Moreover, the existence of a strictly positive lower bound for the inter-event times is formally established, thereby excluding Zeno behavior. Numerical simulations are provided to verify the effectiveness of the proposed methods.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-03-13
DOI
https://doi.org/10.1177/01423312261420297
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Observer-based quasi-consensus of fractional-order multi-agent systems via dynamic event-triggered boundary control

Jiuru Wang, Jianlong Qiu, Zhen Liu, Ancai Zhang et al.
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Observer-based quasi-consensus of fractional-order multi-agent systems via dynamic event-triggered boundary control

Jiuru Wang, Jianlong Qiu, Zhen Liu, Ancai Zhang, Chengdong Yang
article en

Abstract

This paper addresses the quasi-consensus problem of fractional-order multi-agent systems (FOMASs) governed by partial differential equations under sensing and communication constraints. Two observer-based dynamic event-triggered boundary control strategies are proposed to estimate and regulate the system states in scenarios with partial spatial sensing and boundary sensing, respectively. Both a partial domain observer and a boundary observer of the Luenberger type are constructed to reconstruct the system dynamics under limited measurements. To reduce communication burden while maintaining control performance, dynamic event-triggered controllers with adaptive thresholds are developed. Rigorous Lyapunov-based analysis shows that the proposed strategies guarantee the achievement of quasi-consensus. Moreover, the existence of a strictly positive lower bound for the inter-event times is formally established, thereby excluding Zeno behavior. Numerical simulations are provided to verify the effectiveness of the proposed methods.

Transactions of the Institute of Measurement and Control
Linyi University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Distributed Control Multi-Agent Systems
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