Abstract
In this paper, variational methods, Lyapunov stability theory, Homomorphic mapping theory, M-matrix, H-matrix and linear matrix equality (LMI) technique are synthetically employed to obtain the LMI-based stochastically exponential robust stability criterion for a discrete and distributed time-delays Markovian jumping reaction–diffusion Cohen–Grossberg neural networks (CGNNs) with uncertain parameters. It is worth mentioning that the methods employed in this paper improve those of previous related literature to some extent, and the obtained stability criterion can be easily and efficiently computed by computer LMI toolbox. Moreover, a numerical example is presented to illustrate the effectiveness of the proposed methods thanks to the large allowable variation range of time-delays.
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