Exponential stability of fuzzy cellular neural networks with unbounded delay Conference Paper

abstract

• In this paper, we investigate the exponential stability of fuzzy cellular networks with unbounded delay. An easily verified sufficient condition is obtained. Moreover, we get the exponential convergent rate for a broad class of the unbounded delayed fuzzy cellular networks. Springer-Verlag Berlin Heidelberg 2005.

authors

• Huang, Tingwen

published proceedings

• ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS

author list (cited authors)

• Huang, T. W., & Zhang, L. H.

citation count

• 6

complete list of authors

• Huang, TW||Zhang, LH

publication date

• September 2005

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

keywords

• 46 Information And Computing Sciences
• 4611 Machine Learning

Digital Object Identifier (DOI)

• 10.1007/11427391_25

International Standard Book Number (ISBN) 10

• 3-540-25912-0

International Standard Book Number (ISBN) 13

• 9783540259121

start page

• 168

end page

• 173

volume

• 3496

issue

• I

URL

• http://dx.doi.org/10.1007/11427391_25