Vibrational Stabilization of Complex Network Systems

التفاصيل البيبلوغرافية
العنوان: Vibrational Stabilization of Complex Network Systems
المؤلفون: Nobili, Alberto Maria, Qin, Yuzhen, Avizzano, Carlo Alberto, Bassett, Danielle S., Pasqualetti, Fabio
المصدر: Proceedings of the 2022 American Control Conference, San Diego, May, 2022
سنة النشر: 2023
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
الوصف: Many natural and man-made network systems need to maintain certain patterns, such as working at equilibria or limit cycles, to function properly. Thus, the ability to stabilize such patterns is crucial. Most of the existing studies on stabilization assume that network systems states can be measured online so that feedback control strategies can be used. However, in many real-world scenarios, systems states, e.g., neuronal activity in the brain, are often difficult to measure. In this paper, we take this situation into account and study the stabilization problem of linear network systems with an open-loop control strategy (vibrational control). We derive a graph-theoretic sufficient condition for structural vibrational stabilizability, under which network systems can always be stabilized. We further provide an approach to select the locations in the network for control placement and design corresponding vibrational inputs to stabilize systems that satisfy this condition. Finally, we provide some numerical results that demonstrate the validity of our theoretical findings.
نوع الوثيقة: Working Paper
DOI: 10.23919/ACC55779.2023.10156032
URL الوصول: http://arxiv.org/abs/2308.05823
رقم الانضمام: edsarx.2308.05823
قاعدة البيانات: arXiv
الوصف
DOI:10.23919/ACC55779.2023.10156032