Paper Info
Title
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment.
Abstract
The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed neural networks are established in terms of linear matrix inequalities (LMIs). The feedback control in complex environment includes the delayed aperiodically intermittent control and dynamic output feedback control. Moreover, the delayed aperiodically intermittent dynamic output feedback controller is designed based on the established LMIs. A numerical example and its numerical simulations are finally presented to show the effectiveness of obtained theoretical results.
Year
DOI
Venue
2018
10.1155/2018/4352714
COMPLEXITY
Field
DocType
Volume
Analytic element method,Feedback controller,Matrix (mathematics),Control theory,Exponential synchronization,Artificial neural network,Intermittent control,Mathematics,Piecewise
Journal
2018
ISSN
Citations 
PageRank 
1076-2787
2
0.40
References 
Authors
32
4
Name
Order
Citations
PageRank
Xiaoxiao Lv1133.87
Xiaodi Li285453.20
Jinde Cao311399733.03
Peiyong Duan481.20