Title
Fixed-time synchronization of inertial memristor-based neural networks with discrete delay.
Abstract
This paper is concerned with the fixed-time synchronization control of inertial memristor-based neural networks with discrete delay. We design four different kinds of feedback controllers, under which the considered inertial memristor-based neural networks can realize fixed-time synchronization perfectly. Moreover, the obtained fixed-time synchronization criteria can be verified by algebraic operations. For any initial synchronization error, the settling time of fixed-time synchronization is bounded by a fixed constant, which can be calculated beforehand based on system parameters and controller parameters. Numerical simulations are given to illustrate the effectiveness of our theoretical results.
Year
DOI
Venue
2019
10.1016/j.neunet.2018.10.011
Neural Networks
Keywords
Field
DocType
Inertial,Memristor,Neural networks,Feedback controllers,Fixed-time synchronization
Inertial frame of reference,Control theory,Mathematical optimization,Synchronization,Memristor,Control theory,Settling time,Artificial neural network,Mathematics,Algebraic operation,Bounded function
Journal
Volume
Issue
ISSN
109
1
0893-6080
Citations 
PageRank 
References 
7
0.44
22
Authors
4
Name
Order
Citations
PageRank
Chuan Chen1557.63
Lixiang Li253346.82
Haipeng Peng346637.86
Yixian Yang41121140.62