Abstract
This paper considers the problem of the global exponential stability of fuzzy cellular neural networks with time-varying delays. By employing Halanay-type inequalities, some novel delay-independent sufficient conditions under which the neural networks converge exponentially to the equilibria are derived. Our results are easier verifiable and less restrictive than previously known results. © Springer-Verlag 2004.
Cite
CITATION STYLE
Chen, Y., & Liao, X. (2004). Novel exponential stability criteria for fuzzy cellular neural networks with time-varying delay. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 120–125. https://doi.org/10.1007/978-3-540-28647-9_21
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
