Journal
FRACTAL AND FRACTIONAL
Volume 6, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/fractalfract6010014
Keywords
fractional order; synchronization; competitive neural network; Lyapunov-Krasovskii functional
Categories
Ask authors/readers for more resources
This article investigates the synchronization of a class of fractional order uncertain BAM competitive neural networks. Novel sufficient conditions based on differential inclusions theory and Lyapunov-Krasovskii functional are derived to achieve global asymptotic stability. These conditions can be easily verified using the LMI technique. Numerical examples demonstrate the feasibility and effectiveness of the theoretical results.
This article examines the drive-response synchronization of a class of fractional order uncertain BAM (Bidirectional Associative Memory) competitive neural networks. By using the differential inclusions theory, and constructing a proper Lyapunov-Krasovskii functional, novel sufficient conditions are obtained to achieve global asymptotic stability of fractional order uncertain BAM competitive neural networks. This novel approach is based on the linear matrix inequality (LMI) technique and the derived conditions are easy to verify via the LMI toolbox. Moreover, numerical examples are presented to show the feasibility and effectiveness of the theoretical results.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available