Distributed H∞ State Feedback Control for Multi-Agent Systems with Imperfect Communication Networks

The main objective of this paper consists in the analysis and design of distributed control systems for multi-agent systems simultaneous with various types of disturbances attenuation. The distributed structures refer to those structures for which the control laws depend only on neighbouring agents states, more precisely, communication between certain agents is missing. The design approach is based on the definition of a H∞ type cost function for the entire system, a frequently used method, especially for aerospace applications with a single agent. As a case study, a flight formation consisting of four agents with identical dynamics is used, whose time evolutions are analysed according to the effects of different communication networks failures.

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Publication Details

Journal
INCAS BULLETIN
Published
2024-12-06
DOI
https://doi.org/10.13111/2066-8201.2024.16.4.10
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Distributed H∞ State Feedback Control for Multi-Agent Systems with Imperfect Communication Networks

Adrian‐Mihail Stoica, Serena Cristiana Stoicu
INCAS BULLETIN
Distributed Control Multi-Agent Systems
article

Distributed H∞ State Feedback Control for Multi-Agent Systems with Imperfect Communication Networks

Adrian‐Mihail Stoica, Serena Cristiana Stoicu
article en

Abstract

The main objective of this paper consists in the analysis and design of distributed control systems for multi-agent systems simultaneous with various types of disturbances attenuation. The distributed structures refer to those structures for which the control laws depend only on neighbouring agents states, more precisely, communication between certain agents is missing. The design approach is based on the definition of a H∞ type cost function for the entire system, a frequently used method, especially for aerospace applications with a single agent. As a case study, a flight formation consisting of four agents with identical dynamics is used, whose time evolutions are analysed according to the effects of different communication networks failures.

INCAS BULLETINVol. 16(4)
Institutul National de Cercetare-Dezvoltare pentru Inginerie Electrica ICPE-CA, Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 75%
Distributed Control Multi-Agent Systems
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