Event-Triggered Distributed Stabilization of Interconnected Multiagent Systems with Abnormal Agent and Control Layers: Theoretical Analysis

TL;DR

This paper develops an event-triggered control strategy for interconnected multiagent systems that maintains stability and robustness despite agent modeling uncertainties and cyber-attacks on the control layer, ensuring efficient resource use.

Contribution

It introduces a novel step-by-step design method for resilient control layers under attack scenarios, incorporating event-triggered strategies for resource efficiency.

Findings

Proves Zeno-free convergence of system states to the origin.

Demonstrates robustness against denial of service attacks.

Validates approach through simulation studies.

Abstract

A graph theoretic framework recently has been proposed to stabilize interconnected multiagent systems in a distributed fashion, while systematically capturing the architectural aspect of cyber-physical systems with separate agent or physical layer and control or cyber layer. Based on that development, in addition to the modeling uncertainties over the agent layer, we consider a scenario where the control layer is subject to the denial of service attacks. We propose a step-by-step procedure to design a control layer that, in the presence of the aforementioned abnormalities, guarantees a level of robustness and resiliency for the final two-layer interconnected multiagent system. The incorporation of an event-triggered strategy further ensures an effective use of the limited energy and communication resources over the control layer. We theoretically prove the resilient, robust, and Zeno-free convergence of all state trajectories to the origin and, via a simulation study, discuss the feasibility of the proposed ideas.