Exponential Consensus with Decay Rate Estimation for Heterogeneous Multi-Agent Systems

Exponential Consensus with Decay Rate Estimation for Heterogeneous Multi-Agent Systems

This paper presents an analysis method, based on linear matrix inequalities, for consensus with estimated convergence rate, in the presence of input delays. It is assumed that the delays are nonuniform, time-varying, and possibly non-differentiable. The proposed approach consists in rewriting the mu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of intelligent & robotic systems 2019-08, Vol.95 (2), p.543-553
Hauptverfasser: dos Santos Junior, Carlos R. P., Carvalho, José Reginaldo H., Souza, Fernando O., Savino, Heitor J.
Format: Artikel
Sprache:eng
Schlagworte:
Analysis
Artificial Intelligence
Computer simulation
Control
Decay rate
Electrical Engineering
Engineering
Laws, regulations and rules
Linear matrix inequalities
Mathematical analysis
Matrix methods
Mechanical Engineering
Mechatronics
Model reduction
Multiagent systems
Numerical analysis
Rankings
Robotics
Robotics industry
Stability analysis
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents an analysis method, based on linear matrix inequalities, for consensus with estimated convergence rate, in the presence of input delays. It is assumed that the delays are nonuniform, time-varying, and possibly non-differentiable. The proposed approach consists in rewriting the multi-agent system as a reduced-order delayed linear system, such that consensus can be analyzed by means of Lyapunov-Krasovskii stability theory. Finally, the efficiency of the proposed method is verified by numerical simulations.
ISSN:0921-0296
1573-0409
DOI:10.1007/s10846-018-0782-z