Work

A topology-dynamics-based control strategy for multi-dimensional complex networked dynamical systems

Year: 2019

Type: article

Abstract: Complex systems are omnipresent and play a vital role in in our every-day lives. Adverse behavior of such systems has generated considerable interest in being able to control complex systems modeled as networks. Here, we propose a topology-dynamics-based approach for controlling complex systems modeled as networks of coupled multi-dimensional dynamical entities. For given dynamics and topology, we introduce an efficient scheme to identify in polynomial time a finite set of driver nodes, which - when endowed with the control function - steer the network to the desired behavior. We demonstrate the high suitability of our approach by controlling various networked multi-dimensional dynamics, coupled onto different topologies.

Source: Scientific Reports

DOI: 10.1038/s41598-019-56259-4

Authors: Mohammadreza Bahadorian, Hamidreza Alimohammadi, Tahereh Mozaffari, Mohammad Reza Rahimi Tabar, Joachim Peinke, Klaus Lehnertz

Institutions: Sharif University of Technology, Carl von Ossietzky Universität Oldenburg, University of Bonn

Language: English

Topic: Nonlinear Dynamics and Pattern Formation

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,790

Funder: Iran National Science Foundation