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FRACTIONAL HALANAY INEQUALITY AND APPLICATION IN NEURAL NETWORK THEORY 被引量:1

FRACTIONAL HALANAY INEQUALITY AND APPLICATION IN NEURAL NETWORK THEORY
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摘要 The (integer order) Halanay inequality with distributed delays is extended to the fractional order case. It is proved that solutions decay to zero as a Mittag-Leffler function as time goes to infinity provided that the delay feedback are bounded by similar functions.An application to a problem arising in neural network theory is provided showing that the equilibrium is Mittag-Leffler stable. The (integer order) Halanay inequality with distributed delays is extended to the fractional order case. It is proved that solutions decay to zero as a Mittag-Leffler function as time goes to infinity provided that the delay feedback are bounded by similar functions.An application to a problem arising in neural network theory is provided showing that the equilibrium is Mittag-Leffler stable.
出处 《Acta Mathematica Scientia》 SCIE CSCD 2019年第6期1605-1618,共14页 数学物理学报(B辑英文版)
基金 Supported by King Abdulaziz City of King Abdulaziz City of Science and Technology (KACST) under the National Science,Technology and Innovation Plan(NSTIP),Project No.15-OIL4884-0124
关键词 HOPFIELD NEURAL network Mittag-Leffler STABILITY Caputo FRACTIONAL DERIVATIVE FRACTIONAL Halanay INEQUALITY Hopfield neural network Mittag-Leffler stability Caputo fractional derivative fractional Halanay inequality
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