2020
DOI: 10.1109/access.2020.2968760
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Novel Stability Results for Halanay Inequality and Applications to Delay Neural Networks

Abstract: This work investigates the stability of Halanay inequality. Some novel results are obtained by means of constructing an auxiliary differential equation. Some previous works are improved and extended. After that, the obtained results are applied to investigate the stability of neural networks with time-varying and distributed delays. At last, some examples along with numerical simulations are presented to illustrate the validity of the theoretical results. INDEX TERMS Stability, Halanay inequality, delay neural… Show more

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Cited by 7 publications
(7 citation statements)
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“…The key idea which guides us consists of taking advantage of the knowledge of the constants T 1,i and T 2,i ≥ T 1,i , which can be derived from information on the delays of a system with poorly known time-varying delays. As in [13], our assumptions are satisfied by functions a which take both positive and negative values (which contrasts with our earlier results on generalized Halanay's inequalities from [8]- [11], which required a to be nonnegative valued) and the largest value of b i can be arbitrarily large over arbitrarily large intervals, provided that the values a(t) of the function a are positive and large on sufficiently long time intervals. Also, our Halanay inequality generalizations [8]- [11] did not use the comparison function approach that we use here, and they use only one gain term, instead of the multiple gain terms that we use here.…”
Section: Introductionmentioning
confidence: 62%
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“…The key idea which guides us consists of taking advantage of the knowledge of the constants T 1,i and T 2,i ≥ T 1,i , which can be derived from information on the delays of a system with poorly known time-varying delays. As in [13], our assumptions are satisfied by functions a which take both positive and negative values (which contrasts with our earlier results on generalized Halanay's inequalities from [8]- [11], which required a to be nonnegative valued) and the largest value of b i can be arbitrarily large over arbitrarily large intervals, provided that the values a(t) of the function a are positive and large on sufficiently long time intervals. Also, our Halanay inequality generalizations [8]- [11] did not use the comparison function approach that we use here, and they use only one gain term, instead of the multiple gain terms that we use here.…”
Section: Introductionmentioning
confidence: 62%
“…Also, our Halanay inequality generalizations [8]- [11] did not use the comparison function approach that we use here, and they use only one gain term, instead of the multiple gain terms that we use here. By contrast with the main result of [13], we establish ISS like inequalities. By the definition of ISS, this ensures that lim t+∞ v(t) = 0 when δ is the zero function.…”
Section: Introductionmentioning
confidence: 87%
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