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Topology-Dependent Stability Performance of Energy Flow Networks

  • Yi Li*
  • , Xin Li
  • *Corresponding author for this work
  • Washington University St. Louis
  • School of Mechatronics Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies the stability of energy flow dynamics in complex networks, emphasizing the impact of representative topological structures on control performance. Such networks frequently appear in transportation, power distribution, financial, and demographic systems, where nodes and edges represent hosts and transmitters of energy. Motivated by the critical role of topology in physical and engineering contexts, we focus on canonical network prototypes, including small-world and related structures observed in practice. A unified dynamic model is presented, and stability is quantified using L1/L and Hankel norms. Extensive numerical experiments on statistically robust, large-scale networks illustrate how subtle topological variations significantly influence stability behaviors. These results offer theoretical insights and practical guidance for enhancing the control of energy flow in complex networks.

Original languageEnglish
Title of host publicationRCAR 2025 - IEEE International Conference on Real-Time Computing and Robotics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1139-1144
Number of pages6
ISBN (Electronic)9798331502058
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2025 - Toyama, Japan
Duration: 1 Jun 20256 Jun 2025

Publication series

NameRCAR 2025 - IEEE International Conference on Real-Time Computing and Robotics

Conference

Conference2025 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2025
Country/TerritoryJapan
CityToyama
Period1/06/256/06/25

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