Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays Conference Paper

abstract

• In the paper, a new exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time- varying delays is obtained by using Lyapunov-Krasovskii functional with the differential inequality and linear matrix inequality technique. The new criterion is easily verifiable. 2009 Springer-Verlag Berlin Heidelberg.

authors

• Huang, Tingwen

published proceedings

• NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS

author list (cited authors)

• Huang, T., & Zeng, Z.

citation count

• 1

complete list of authors

• Huang, Tingwen||Zeng, Zhigang

publication date

• December 2009

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

keywords

• Cohen-grossberg Neural Networks
• Delays
• Fuzzy
• Linear Matrix Inequality

Digital Object Identifier (DOI)

• 10.1007/978-3-642-10677-4_22

International Standard Book Number (ISBN) 10

• 3642106765

International Standard Book Number (ISBN) 13

• 978-3-642-10676-7

start page

• 194

end page

• +

volume

• 5863

issue

• PART 1

URL

• http://dx.doi.org/10.1007/978-3-642-10677-4_22

user-defined tag

• 10 Reduced Inequalities