A new stability criterion for bidirectional associative memory neural networks of neutral-type

作者：Park Ju H^*; Park C H; Kwon O M; Lee S M

来源：Applied Mathematics and Computation, 2008, 199(2): 716-722.

DOI：10.1016/j.amc.2007.10.032

• global stability
• BAM neural network
• delay
• linear matrix inequality
• Lyapunov method

In the paper, the global asymptotic stability of equilibrium is considered for continuous bidirectional associative memory ( BAM) neural networks of neutral type by using the Lyapunov method. A new stability criterion is derived in terms of linear matrix inequality ( LMI) to ascertain the global asymptotic stability of the BAM. The LMI can be solved easily by various convex optimization algorithms. A numerical example is illustrated to verify our result.

• 出版日期2008-6-1