Work

Data-Driven Event-Triggered Predictive Control for Consensus of Discrete-Time Multi-Agent Systems with Time-Varying Delays

Year: 2026

Type: article

Abstract: Consensus control for discrete-time multi-agent systems is increasingly complex when facing unknown dynamics and time-varying communication delays. Although data-driven control has emerged as a powerful tool to bypass model reliance, few existing studies simultaneously address the challenges of delay compensation and limited communication bandwidth. To bridge this gap, this paper proposes a novel data-driven event-triggered predictive control framework. We leverage Willems’ fundamental lemma to construct a predictive model directly from historical data, eliminating the need for system identification. Furthermore, an integrated event-triggered mechanism with a dynamic threshold updates control signals only when necessary, effectively reducing transmission load. Theoretical analysis confirms the recursive feasibility and stability of the closed-loop system, while simulations demonstrate that the proposed method achieves robust consensus with significantly reduced event-triggering frequency.

Source: Applied Sciences

DOI: 10.3390/app16041723

Authors: Chang-Jiang Li, Weifeng Xu, Liang Qi, Zhaoping Du, Jianzhen Li, Shuxia Ye

Institution: Jiangsu University of Science and Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: National Natural Science Foundation of China