Publication | Open Access
Mittag-Leffler stability and asymptotic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.svg"><mml:mrow><mml:mi>ω</mml:mi></mml:mrow></mml:math>-periodicity of fractional-order inertial neural networks with time-delays
37
Citations
26
References
2021
Year
Math XmlnsTime Delay SystemEngineeringFractional-order SystemMittag-leffler StabilityMechanical SystemsSufficient ConditionsAppropriate TransformationFractional DynamicStability AnalysisStability
In this paper, the stability for a class fractional-order inertial neural networks with time-delay are investigated. Moreover, some sufficient conditions for the Mittag-Leffler stability and the asymptotical ω-periodicity are obtained, by the appropriate transformation, using the property of the Riemann-Liouville fractional integral and derivative. In the end, results of the theoretical derivation are verified by virtue of two numerical simulation examples.
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