Abstract
This paper is concerned with uniqueness and global robust stability for the equilibrium point of the interval bidirectional associative memory (BAM) delayed neural networks. By employing linear matrix inequality and Lyapunov functional, a new criterion is proposed for the global robust stability of BAM neural networks. An example is given to show the effectiveness of the present results. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Li, X., & Liu, M. (2011). Improved global robust stability criteria for delayed BAM neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7064 LNCS, pp. 307–314). https://doi.org/10.1007/978-3-642-24965-5_34
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
