Feedback pinning control of collective behaviors aroused by epidemic spread on complex networks

TL;DR

This paper develops a feedback control strategy to synchronize collective behaviors in complex networks affected by epidemic spread, providing new insights into controlling disease transmission and behavioral responses.

Contribution

It introduces a novel pinning feedback control approach for epidemic-induced behavioral synchronization, combining epidemic models with complex network control theory.

Findings

Derived epidemic threshold using convex functions and Gerschgorin theorem.

Designed two feedback control strategies based on infection status.

Numerical simulations confirm the effectiveness of the proposed control methods.

Abstract

This paper investigates epidemic control behavioral synchronization for a class of complex networks resulting from spread of epidemic diseases via pinning feedback control strategy. Based on the quenched mean field theory, epidemic control synchronization models with inhibition of contact behavior is constructed, combining with the epidemic transmission system and the complex dynamical network carrying extra controllers. By the properties of convex functions and Gerschgorin theorem, the epidemic threshold of the model is obtained, and the global stability of disease-free equilibrium is analyzed. For individual's infected situation, when epidemic spreads, two types of feedback control strategies depended on the diseases' information are designed: the one only adds controllers to infected individuals, the other adds controllers both to infected and susceptible ones. And by using Lyapunov stability theory, under designed controllers, some criteria that guarantee epidemic control synchronization system achieving behavior synchronization are also derived. Several numerical simulations are performed to show the effectiveness of our theoretical results. As far as we know, this is the first work to address the controlling behavioral synchronization induced by epidemic spreading under the pinning feedback mechanism. It is hopeful that we may have more deeper insight into the essence between disease's spreading and collective behavior controlling in complex dynamical networks.