TY - JOUR
T1 - Event-Triggered Control for Robust Exponential Synchronization of Inertial Memristive Neural Networks Under Parameter Disturbance
AU - Yao, Wei
AU - Wang, Chunhua
AU - Sun, Yichuang
AU - Gong, Shuqing
AU - Lin, Hairong
N1 - © 2023 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.neunet.2023.04.024
PY - 2023/5/4
Y1 - 2023/5/4
N2 - Synchronization of memristive neural networks (MNNs) by using network control scheme has been widely and deeply studied. However, these researches are usually restricted to traditional continuous-time control methods for synchronization of the first-order MNNs. In this paper, we study the robust exponential synchronization of inertial memristive neural networks (IMNNs) with time-varying delays and parameter disturbance via event-triggered control (ETC) scheme. First, the delayed IMNNs with parameter disturbance are changed into first-order MNNs with parameter disturbance by constructing proper variable substitutions. Next, a kind of state feedback controller is designed to the response IMNN with parameter disturbance. Based on feedback controller, some ETC methods are provided to largely decrease the update times of controller. Then, some sufficient conditions are provided to realize robust exponential synchronization of delayed IMNNs with parameter disturbance via ETC scheme. Moreover, the Zeno behavior will not happen in all ETC conditions shown in this paper. Finally, numerical simulations are given to verify the advantages of the obtained results such as anti-interference performance and good reliability.
AB - Synchronization of memristive neural networks (MNNs) by using network control scheme has been widely and deeply studied. However, these researches are usually restricted to traditional continuous-time control methods for synchronization of the first-order MNNs. In this paper, we study the robust exponential synchronization of inertial memristive neural networks (IMNNs) with time-varying delays and parameter disturbance via event-triggered control (ETC) scheme. First, the delayed IMNNs with parameter disturbance are changed into first-order MNNs with parameter disturbance by constructing proper variable substitutions. Next, a kind of state feedback controller is designed to the response IMNN with parameter disturbance. Based on feedback controller, some ETC methods are provided to largely decrease the update times of controller. Then, some sufficient conditions are provided to realize robust exponential synchronization of delayed IMNNs with parameter disturbance via ETC scheme. Moreover, the Zeno behavior will not happen in all ETC conditions shown in this paper. Finally, numerical simulations are given to verify the advantages of the obtained results such as anti-interference performance and good reliability.
KW - Event-triggered control
KW - Inertial memristive neural networks
KW - Parameter disturbance
KW - Robust exponential synchronization
UR - http://www.scopus.com/inward/record.url?scp=85162048058&partnerID=8YFLogxK
U2 - 10.1016/j.neunet.2023.04.024
DO - 10.1016/j.neunet.2023.04.024
M3 - Article
SN - 0893-6080
VL - 164
SP - 67
EP - 80
JO - Neural Networks
JF - Neural Networks
ER -