scholarly journals Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Xiaofei Li ◽  
Deng Ding ◽  
Jianzhong Feng ◽  
Songbo Hu
Author(s):  
Xiangying Fu ◽  
Fanchao Kong

AbstractThis paper is concerned with a class of bidirectional associative memory (BAM) neural networks with discontinuous activations and time-varying delays. Under the basic framework of differential inclusions theory, the existence result of solutions in sense of Filippov solution is firstly established by using the fundamental solution matrix of coefficients and inequality analysis technique. Also, the boundness of the solutions can be estimated. Secondly, based on the non-smooth Lyapunov-like approach and by construsting suitable Lyapunov–Krasovskii functionals, some new sufficient criteria are given to ascertain the globally exponential stability of the anti-periodic solutions for the proposed neural network system. Furthermore, we have collated our effort with some previous existing ones in the literatures and showed that it can take more advantages. Finally, two examples with numerical simulations are exploited to illustrate the correctness.


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