Finite-time stability of a class of fuzzy cellular neural networks with multi-proportional delays
2017
Abstract This paper is concerned with finite-time stability for a class of fuzzy cellular neural networks with multi-proportional delays. Based on the finite-time stability theory, we establish a novel result to ensure the finite-time stability of the addressed system by employing the differential inequality techniques. We also use numerical simulations to demonstrate our theoretical result.
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