Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters

New delay-interval-dependent stability analysis of neutral type BAM neural networks with successive time delay components

“…Moreover, in practical implementation of neural networks, uncertainties are unavoidable because of the existence of modeling errors and external disturbances, which also result in instability and poor performance. So it is essential to introduce such uncertainties into our system and the related issues that have been reported in the literature [21,22,23,24].…”

Stability analysis for periodic solutions of fuzzy shunting inhibitory CNNs with delays

“…For this reason, the dynamics of FCNNs have been widely studied by many researchers. By means of direct Lyapunov method, exponential stability of FCNNs with different types of delays, diffusion and impulsive perturbations were established in many papers including [12][13][14][15][16][17][18][19][20][21][22][23]. Furthermore, the synchronization of FCNNs was considered in the studies [24][25][26][27][28][29][30].…”

Exponential Stability of BAM Fuzzy Cellular Neural Networks with Time-Varying Delays in Leakage Terms and Impulses

“…The BAM neural networks are composed of neurons arranged in two layers, the X-layer and Y-layer. Recently, many researchers have studied the dynamics of BAM neural networks with or without delays [4][5][6][7][8][9][10][11][12][13][14][15]. However, in mathematical modeling of real world problems, uncertainty or vagueness is unavoidable.…”