On Networks with Active and Passive Agents

TL;DR

This paper presents a new framework for multiagent networks with active and passive agents, analyzing their convergence properties using Lyapunov stability methods.

Contribution

It introduces a novel active-passive agent network framework and provides convergence analysis for such systems.

Findings

The framework effectively models mixed active-passive agent networks.

Lyapunov stability guarantees convergence under certain conditions.

The approach advances understanding of multiagent system dynamics.

Abstract

We introduce an active-passive networked multiagent system framework, which consists of agents subject to exogenous inputs (active agents) and agents without any inputs (passive agents), and analyze its convergence using Lyapunov stability.