TY - GEN
T1 - Distributed Prescribed-Time and Adaptive Synchronization of Complex Dynamical Networks Under Directed Topologies
AU - Feng, Zhi
AU - Dong, Xiwang
AU - Lü, Jinhu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper addresses an adaptively distributed prescribed-time synchronization problem of complex dynamical networks (CDNs) via distributed pinning control schemes using neighboring information over the digraph. The novel distributed prescribed-time synchronization pinning control algorithms with static and dynamic coupling laws are developed to achieve global synchronization in the specified time, where each node can adjust its strategy on its procurable synchronization error. Based on the time transformation method and Lyapunov analysis theory, it is proved that global synchronization can be guaranteed in a pre-defined time and moreover, this synchronization can be preserved after the time, and further the control inputs are kept uniformly bounded. Lastly, the numerical simulation results are further presented to illustrate the effectiveness of the developed synchronization control methods.
AB - This paper addresses an adaptively distributed prescribed-time synchronization problem of complex dynamical networks (CDNs) via distributed pinning control schemes using neighboring information over the digraph. The novel distributed prescribed-time synchronization pinning control algorithms with static and dynamic coupling laws are developed to achieve global synchronization in the specified time, where each node can adjust its strategy on its procurable synchronization error. Based on the time transformation method and Lyapunov analysis theory, it is proved that global synchronization can be guaranteed in a pre-defined time and moreover, this synchronization can be preserved after the time, and further the control inputs are kept uniformly bounded. Lastly, the numerical simulation results are further presented to illustrate the effectiveness of the developed synchronization control methods.
UR - https://www.scopus.com/pages/publications/85184804042
U2 - 10.1109/CDC49753.2023.10383535
DO - 10.1109/CDC49753.2023.10383535
M3 - 会议稿件
AN - SCOPUS:85184804042
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4435
EP - 4440
BT - 2023 62nd IEEE Conference on Decision and Control, CDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 62nd IEEE Conference on Decision and Control, CDC 2023
Y2 - 13 December 2023 through 15 December 2023
ER -