Non-fragile state estimation for delayed fractional-order memristive neural networks

Ruoxia Li, Xingbao Gao and Jinde Cao

Applied Mathematics and Computation, 2019, vol. 340, issue C, 221-233

Abstract: The issue of non-fragile estimation for fractional-order memristive system is provided in this paper. By endowing the Lyapunov technique, the corresponding works that ensuring the globally asymptotic stability of the error model are presented, which can be calculated efficiently. In the end, the analytical methods are voiced by two simulations.

Keywords: Fractional-order; State estimator; Memristive; Neural network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:340:y:2019:i:c:p:221-233

DOI: 10.1016/j.amc.2018.08.031

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