Synchronization of impulsive fuzzy cellular neural networks with parameter mismatches Conference Paper

abstract

• In this paper, we study the effect of parameter mismatches on the fuzzy neural networks with impulses. Since it. is impossible to make two non-identical neural networks complete synchronized, we study the synchronization of two neural networks in terms of quasi-synchronization. Using Lyapunov method and linear matrix inequality method, we obtain a sufficient condition for a global synchronization error bound of the two neural networks. Springer-Verlag Berlin Heidelberg 2007.

authors

• Huang, Tingwen

published proceedings

• ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 2, PROCEEDINGS

author list (cited authors)

• Huang, T., & Li, C.

citation count

• 1

complete list of authors

• Huang, Tingwen||Li, Chuandong

publication date

• January 2007

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

keywords

• Neurosciences

Digital Object Identifier (DOI)

• 10.1007/978-3-540-72393-6_4

International Standard Book Number (ISBN) 13

• 978-3-540-72392-9

start page

• 24

end page

• +

volume

• 4492

issue

• PART 2