Finite-time stabilization of uncertain neural networks with distributed time-varying delays

abstract

• 2016, The Natural Computing Applications Forum. In this paper, the problem of finite-time stabilization for a class of uncertain neural networks with distributed time-varying delays is investigated. Based on the Lyapunov stability theory and integral inequality technique, some sufficient LMI conditions are derived to ensure the finite-time stability of considered neural networks. In addition, the upper bound of the settling time for stabilization is estimated. Numerical simulations are carried out to demonstrate the effectiveness of the obtained results.

authors

• Huang, Tingwen

published proceedings

• NEURAL COMPUTING & APPLICATIONS

author list (cited authors)

• Yang, S., Li, C., & Huang, T.

citation count

• 14

complete list of authors

• Yang, Shiju||Li, Chuandong||Huang, Tingwen

publication date

• December 2017

publisher

• Springer Nature  Publisher

published in

• Neural Computing and Applications  Journal

keywords

• Distributed Time-varying Delays
• Finite-time Stabilization
• Settling Time
• Uncertain Neural Networks (unns)

Digital Object Identifier (DOI)

• 10.1007/s00521-016-2421-6

start page

• S1155

end page

• S1163

volume

• 28

issue

• Suppl 1

URL

• http://dx.doi.org/10.1007/s00521-016-2421-6