TY - GEN
T1 - Topology-Dependent Stability Performance of Energy Flow Networks
AU - Li, Yi
AU - Li, Xin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105016841469
U2 - 10.1109/RCAR65431.2025.11139598
DO - 10.1109/RCAR65431.2025.11139598
M3 - 会议稿件
AN - SCOPUS:105016841469
T3 - RCAR 2025 - IEEE International Conference on Real-Time Computing and Robotics
SP - 1139
EP - 1144
BT - RCAR 2025 - IEEE International Conference on Real-Time Computing and Robotics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2025
Y2 - 1 June 2025 through 6 June 2025
ER -