Bipartite Synchronization for Complex Dynamic Networks Via Impulsive Inputs with Packet Loss

This paper studies the synchronization for a class of delay-coupled dynamic networks composed of nodes with both cooperative and competitive relationships. For synchronous target, an impulsive controller with time-varying impulsive intensity is designed. In view of packet loss, the actual impulse sequence is denoted by conjunction of impulsive effect and packet loss rate. With help of Lyapunov stability theorem and the constructed comparison system, sufficient conditions for ensuring bipartite synchronization are derived. In addition, adverse impacts brought by coupling delays and packet loss are elaborately analyzed. Finally, a numerical simulation is given to show the effectiveness of the derived theorem.

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Published
2024-10-18
DOI
https://doi.org/10.1109/icocta64736.2024.00017
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Bipartite Synchronization for Complex Dynamic Networks Via Impulsive Inputs with Packet Loss

Boling Zhou, Dong Ding, Fengzeng Zhu, Chuanbo Wen et al.
Neural Networks Stability and Synchronization
article

Bipartite Synchronization for Complex Dynamic Networks Via Impulsive Inputs with Packet Loss

Boling Zhou, Dong Ding, Fengzeng Zhu, Chuanbo Wen, Qi Chang
article en

Abstract

This paper studies the synchronization for a class of delay-coupled dynamic networks composed of nodes with both cooperative and competitive relationships. For synchronous target, an impulsive controller with time-varying impulsive intensity is designed. In view of packet loss, the actual impulse sequence is denoted by conjunction of impulsive effect and packet loss rate. With help of Lyapunov stability theorem and the constructed comparison system, sufficient conditions for ensuring bipartite synchronization are derived. In addition, adverse impacts brought by coupling delays and packet loss are elaborately analyzed. Finally, a numerical simulation is given to show the effectiveness of the derived theorem.

Linyi University (CN), Suzhou University of Science and Technology (CN), Nanjing Xiaozhuang University (CN), Shanghai Dianji University (CN)
Ministry of Education, National Natural Science Foundation of China, Shanghai Education Development Foundation, Jiangnan University
Affordable and clean energy
Openalex Percentile: Top 66%
Neural Networks Stability and Synchronization
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Bipartite Synchronization for Complex Dynamic Networks Via Impulsive Inputs with Packet Loss — Boling Zhou, Dong Ding, et al. · (2024) | TGRS Research Map | TGRS