Finite-time stabilization for fractional-order inertial neural networks with time varying delays
2022 ◽
Vol 27
(1)
◽
pp. 1-18
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This paper deals with the finite-time stabilization of fractional-order inertial neural network with varying time-delays (FOINNs). Firstly, by correctly selected variable substitution, the system is transformed into a first-order fractional differential equation. Secondly, by building Lyapunov functionalities and using analytical techniques, as well as new control algorithms (which include the delay-dependent and delay-free controller), novel and effective criteria are established to attain the finite-time stabilization of the addressed system. Finally, two examples are used to illustrate the effectiveness and feasibility of the obtained results.
2021 ◽
Vol 26
(5)
◽
pp. 759-780
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2021 ◽
Vol 1978
(1)
◽
pp. 012030
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