This study focuses on the theoretical analysis of an emergent behavior in a class of heterogeneous multiagent systems (HMASs) with single-input–single-output dynamics. The primary objective is to design a control law ensuring the asymptotic convergence of agents’ outputs to a predefined region where the final positions of the agents represent an emergent characteristics of the considered HMAS. This emergent behavior, termed blind matching, allows completely decoupled swarms to achieve coupled consensus within a predefined region, despite lacking direct communication and exhibiting diverse initial conditions and dynamics. Applying the analysis to coordinate two swarms of double integrator agents in a 2-D space, the study formulates control protocols that guide agents along specific paths, establish consensus between corresponding agents, and ensure convergence to fixed positions within a defined boundary relative to chosen movement profiles. The matching problem is addressed, considering the independent nature of the swarms and their lack of direct communication.

Fixed Emergent Output Values and Their Use for Blind Matching in a Class of Decoupled Heterogeneous Multiagent Systems

Fedele G.
;
D'Alfonso L.
2025-01-01

Abstract

This study focuses on the theoretical analysis of an emergent behavior in a class of heterogeneous multiagent systems (HMASs) with single-input–single-output dynamics. The primary objective is to design a control law ensuring the asymptotic convergence of agents’ outputs to a predefined region where the final positions of the agents represent an emergent characteristics of the considered HMAS. This emergent behavior, termed blind matching, allows completely decoupled swarms to achieve coupled consensus within a predefined region, despite lacking direct communication and exhibiting diverse initial conditions and dynamics. Applying the analysis to coordinate two swarms of double integrator agents in a 2-D space, the study formulates control protocols that guide agents along specific paths, establish consensus between corresponding agents, and ensure convergence to fixed positions within a defined boundary relative to chosen movement profiles. The matching problem is addressed, considering the independent nature of the swarms and their lack of direct communication.
2025
blind matching
consensus control
Emergent behavior
heterogeneous multiagent systems (HMASs)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/399691
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