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

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.

SUBMITTER: Bahadorian M

PROVIDER: S-EPMC6934796 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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

Bahadorian Mohammadreza M Alimohammadi Hamidreza H Mozaffari Tahereh T Tabar Mohammad Reza Rahimi MRR Peinke Joachim J Lehnertz Klaus K

Scientific reports 20191227 1

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 - ...[more]

PMID: 31882634

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