Cited by 2Advanced Control Systems OptimizationDistributed Control Multi-Agent SystemsStability and Control of Uncertain Systems

Event-Triggered Robust Distributed MPC for Multi-Agent Systems with A Two-Step Event Verification

Open access
Deng, Li, Shu, Zhan, Chen, Tongwen·2022·IFAC-PapersOnLine

Abstract

An event-triggered robust distributed model predictive control (MPC) problem for multi-agent systems with bounded disturbances is studied in this paper. For each agent, a two-step triggering scheme is designed to decide when to solve its individual optimization problem, leading to reduced usage of computational resources. This scheme synthesizes a two-step event verification with a specified triggering condition and a waiting horizon based on a prediction model and a robust positively invariant set of the corresponding agent. The theoretical conditions for recursive feasibility and closed-loop robust stability are developed. The consensus among all agents is achieved. A simulation example is provided to show the effectiveness of the proposed approach.

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Crossref · 10.1016/j.ifacol.2022.11.322

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Cited by

Authors
Deng, L., Shu, Z., & Chen, T.
Affiliations
University of Alberta (CA)
Corresponding author
  • Deng, Li
  • Shu, Zhan
  • Chen, Tongwen
Venue
IFAC-PapersOnLine
Publisher
Elsevier BV
Published
2022
Volume
55
Issue
34
Pages
144-149
ISSN
2405-8963 (ISSN-L)
OpenAlex
W4312275101
Cited by
2
References
16
Citations by year
2025: 2
FWCI
0.20
Type
journal article
Language
en
Open access
Locations
IFAC-PapersOnLine (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Keywords
event-triggered control, multi-agent systems, bounded disturbances, robust positively invariant sets, recursive feasibility, consensus

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