Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects

Novel global exponential stability criteria for hybrid BAM neural networks with proportional delays

“…(1) is different from models in [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Thus, those results in [5][6][7][8][9][10][11][12][13][14][15][16][17][18] cannot be directly applied to model (1) in this paper. (7) is different from models in [11].…”

“…On the other hand, the time delay is inevitable due to the finite switching speed of information processing and the inherent communication time of neurons, and its existence may cause oscillation and instability of the system. So a variety of stabilities of BAM neural networks with delays have been widely studied and a great deal of results have been obtained in [5][6][7][8][9][10][11][12][13][14][15][16][17][18]20,21].…”

“…In general, the time delays considered for BAM neural networks can be classified as constant delays [7,[14][15][16][17]21], time-varying delays [6,[8][9][10]13,18], and distributed delays [5,11,12]. Recently, in [20], global exponential stability of a class of hybrid BAM with proportional delays is studied by constructing delay different inequality.…”