Paper Info
Title
Switching pinning control for memristive neural networks system with Markovian switching topologies
Abstract
This work concentrates on the issue of leader-following bipartite synchronization of multiple memristive neural networks with Markovian jump topology. In contrast to conventional coupled neural network systems, the coupled neural network model under consideration possesses both cooperative and competitive connections among neuron nodes. Specifically, the interaction between neighbors’ nodes is described by a signed graph, in which a positive weight represents an alliance relationship between two neuron nodes while a negative weight represents an adversarial relationship between two neuron nodes. By designing a pinning discontinuous controller that makes full use of the mode information, some effective criteria that ensure the stability of bipartite synchronization error states are obtained. All network nodes can synchronize the target node state bipartitely. Finally, two simulation examples are provided to demonstrate the viability of the suggested bipartite synchronization control approach.
Year
DOI
Venue
2022
10.1016/j.neunet.2022.09.011
Neural Networks
Keywords
DocType
Volume
Memristive neural networks,Bipartite synchronization,Switching topology,Signed graph,Pinning control
Journal
156
Issue
ISSN
Citations 
1
0893-6080
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ning Li114548.40
Wei Xing Zheng24266274.73