@Article{cmes.2022.020780,
AUTHOR = {Tianyuan Jia, Xiangyong Chen, Xiurong Yao, Feng Zhao, Jianlong Qiu},
TITLE = {Adaptive Fixed-Time Synchronization of Delayed Memristor-Based Neural Networks with Discontinuous Activations},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {134},
YEAR = {2023},
NUMBER = {1},
PAGES = {221--239},
URL = {http://www.techscience.com/CMES/v134n1/49433},
ISSN = {1526-1506},
ABSTRACT = {Fixed-time synchronization (FTS) of delayed memristor-based neural networks (MNNs) with discontinuous
activations is studied in this paper. Both continuous and discontinuous activations are considered for MNNs. And
the mixed delays which are closer to reality are taken into the system. Besides, two kinds of control schemes are
proposed, including feedback and adaptive control strategies. Based on some lemmas, mathematical inequalities
and the designed controllers, a few synchronization criteria are acquired. Moreover, the upper bound of settling
time (ST) which is independent of the initial values is given. Finally, the feasibility of our theory is attested by
simulation examples.},
DOI = {10.32604/cmes.2022.020780}
}