New Criteria on Exponential Lag Synchronization of Switched Neural Networks with Time-Varying Delays Academic Article

abstract

• 2017, Springer Science+Business Media New York. This paper addresses the problem of global exponential lag synchronization of switched neural networks with time-varying delays and general activation functions. Based on the LyapunovKrasovskii functional method and free weighting matrix technique, delay-dependent criteria for the global exponential lag synchronization of switched neural networks are derived in form of linear matrix inequalities. A numerical example is utilized to illustrate the characteristics of the results.

authors

• Huang, Tingwen

published proceedings

• NEURAL PROCESSING LETTERS

author list (cited authors)

• Cao, Y., Wen, S., & Huang, T.

citation count

• 7

complete list of authors

• Cao, Yuting||Wen, Shiping||Huang, Tingwen

publication date

• October 2017

publisher

• Springer Nature  Publisher

published in

• Neural Processing Letters  Journal

keywords

• Lag Synchronization
• Neural Network
• Time-varying Delay

Digital Object Identifier (DOI)

• 10.1007/s11063-017-9599-1

start page

• 451

end page

• 466

volume

• 46

issue

• 2

URL

• http://dx.doi.org/10.1007/s11063-017-9599-1