CAJ | 학술논문

讨论了一类具有混合时滞(包含离散和分布时滞)的人工神经网络的指数稳定性问题。通过将时滞区间分为不等的两部分，并结合倒数凸方法，得到了系统指数稳定的新判据，判据以线性矩阵不等式的形式给出。最后用两个数值实例说明了所得结论的有效性与更小的保守性。
토론료일류구유혼합시체(포함리산화분포시체)적인공신경망락적지수은정성문제。통과장시체구간분위불등적량부분，병결합도수철방법，득도료계통지수은정적신판거，판거이선성구진불등식적형식급출。최후용량개수치실례설명료소득결론적유효성여경소적보수성。
The problem of exponential stability analysis for artificial neural networks with mixed delays (including discrete and distributed time-varying delays)is discussed.By dividing the delay interval into two unequal subintervals and using the reciprocal convex approach,an improved delay-dependent exponential-stability criterion is derived in terms of the linear matrix inequalities (LMIs). Finally, numerical examples illustrate the effectiveness and less conservatism of the obtained conditions.