TY - JOUR
T1 - Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling
AU - Wu, Yongbao
AU - Guo, Haihua
AU - Xue, Lei
AU - Gunasekaran, Nallappan
AU - Liu, Jian
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.
AB - This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.
KW - high-gain coupling
KW - Prescribed-time synchronization
KW - Stochastic complex networks
UR - https://www.scopus.com/pages/publications/85159665489
U2 - 10.1109/TCSII.2023.3271150
DO - 10.1109/TCSII.2023.3271150
M3 - Article
AN - SCOPUS:85159665489
SN - 1549-7747
VL - 70
SP - 4133
EP - 4137
JO - IEEE Transactions on Circuits and Systems II: Express Briefs
JF - IEEE Transactions on Circuits and Systems II: Express Briefs
IS - 11
ER -