Paper Info
Title
The Intermittent Control Synchronization of Complex-Valued Memristive Recurrent Neural Networks with Time-Delays
Abstract
In this paper, the intermittent control synchronization of complex-valued memristive recurrent neural networks with time-delays is investigated. As a generalization on the real-valued memristive recurrent neural networks, complex-valued memristive recurrent neural networks own more complicated properties. In complex-valued domain, bounded and analytic complex-valued activation functions do not exist. Some assumptions about activation functions in real-valued domain cannot be applied directly to complex-valued fields. By appropriate transformation, complex-valued memristive recurrent neural networks can be divided into real parts and imaginary parts, which can avoid discussing the bounded and analytic. In the framework of differential inclusion theory and Lyapunov method, sufficient criteria of intermittent control synchronization are established. Finally, a simulation is given to verify the validity and feasibility of the sufficient conditions.
Year
DOI
Venue
2019
10.1007/s11063-019-09988-6
Neural Processing Letters
Keywords
DocType
Volume
Complex-valued recurrent neural networks, Memeristor, Synchronization, Intermittent control, Differential inclusion, Time-delays
Journal
50
Issue
ISSN
Citations 
3
1370-4621
0
PageRank 
References 
Authors
0.34
30
3
Name
Order
Citations
PageRank
Shuai Zhang13711.44
Yongqing Yang233128.54
Xin Sui334031.49