Abstract
In the paper, the global robust asymptotic stability of bidirectional associative memory (BAM) neural networks with time-varying delays and uncertainties is investigated. A novel stability criterion is presented based on the Lyapunov method. The criterion is represented in terms of linear matrix inequality (LMI), which can be solved easily by various optimization algorithms. A numerical example is illustrated to show the effectiveness of our new result.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
