Distributed NN-Based Formation Control of Multi-Agent Systems : A Reduced-Order Appointed-Time Observer Approach

Although the formation control of multi-agent systems has been widely investigated from various aspects, the problem is still not well resolved, especially for the case of distributed output-feedback formation controller design without input information exchange among neighboring agents. Using relative output information, this paper presents a novel distributed reduced-order estimation of the formation error at a predefined time. Based on the proposed distributed observer, a neural-network-based formation controller is then designed for multi-agent systems with connected graphs. The results are verified by both theoretical demonstration and simulation example.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Sensors (Basel, Switzerland) - 24(2024), 2 vom: 17. Jan.

Sprache:

Englisch

Beteiligte Personen:

Feng, Yuting [VerfasserIn]
Sun, Shuai [VerfasserIn]
Lv, Yuezu [VerfasserIn]
Sun, Changhao [VerfasserIn]

Links:

Volltext

Themen:

Appointed-time estimation
Formation control
Journal Article
Multi-agent system
Reduced-order observer

Anmerkungen:

Date Revised 29.01.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/s24020589

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367481650