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

Bahadorian, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1038/s41598-019-56259-4
  3. Publisher: Nature Research , 2019
  4. Abstract:
  5. 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. © 2019, The Author(s)
  6. Keywords:
  7. Article ; Bbullock ; Control strategy ; Male ; Nonhuman
  8. Source: Scientific Reports ; Volume 9, Issue 1 , 2019 ; 20452322 (ISSN)
  9. URL: https://www.nature.com/articles/s41598-019-56259-4