Vibrational Control of Complex Networks

Output Details

The stability of complex networks, from power grids to biological systems, is crucial for their proper functioning. It is thus important to control such systems to maintain or restore their stability. Traditional approaches rely on real-time state measurements for feedback control, but this can be challenging in many real-world systems, such as the brain, due to their complex and dynamic nature. This paper utilizes vibrational control -- an open-loop strategy -- to regulate network stability. Unlike conventional methods targeting network nodes, our approach focuses on manipulating network edges through vibrational inputs. We establish sufficient graph-theoretic conditions for vibration-induced functional modifications of network edges and stabilization of network systems as a whole. Additionally, we provide methods for designing effective vibrational control inputs and validate our theoretical findings through numerical simulations.
Tags
  • Computer modeling
  • Predictive models

Meet the Authors

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    Yuzhen Qin, PhD

    Key Personnel: Team Biederer

    University of California, Riverside

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    Fabio Pasqualetti, PhD

    Collaborating PI: Team Biederer

    University of California, Riverside

  • Danielle (Dani) Bassett, PhD

    Collaborating PI: Team Biederer

    University of Pennsylvania

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    Marcel van Gerven