Exponential stability of fuzzy cellular neural networks with distributed delay Academic Article

abstract

• Stability is considered for a class of fuzzy cellular neural networks with distributed delay. The condition for feedback kernel is minimal: the only condition required is that 0k(s)ds=1. Exponential stability is obtained with finite distributed delay, while asymptotic stability is obtained with infinite distributed delay. 2005 Elsevier B.V. All rights reserved.

authors

• Huang, Tingwen

published proceedings

• PHYSICS LETTERS A

author list (cited authors)

• Huang, T. W.

citation count

• 126

complete list of authors

• Huang, TW

publication date

• February 2006

publisher

• Elsevier  Publisher

published in

• Physics Letters, Section A: General, Atomic and Solid State Physics  Journal

keywords

• Asymptotic Stability
• Distributed Delay
• Equilibrium Point
• Exponential Stability
• Fuzzy Cellular Neural Networks

Digital Object Identifier (DOI)

• 10.1016/j.physleta.2005.10.060

start page

• 48

end page

• 52

volume

• 351

issue

• 1-2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.physleta.2005.10.060