Robust state estimation for fractional-order complex-valued delayed neural networks with interval parameter uncertainties: LMI approach

Binxin Hu, Qiankun Song and Zhenjiang Zhao

Applied Mathematics and Computation, 2020, vol. 373, issue C

Abstract: Without separating complex-valued neural networks into two real-valued systems, the state estimation of fractional-order complex-valued neural networks (FCNNs) with uncertain parameters and time delay is investigated in this paper. Based on Lyapunov-Krasovskii functional approach, a new linear matrix inequality (LMI) criterion is derived for asymptotic stability of the estimation error system. A numerical example with simulations is given to confirm the feasibility and availability of the raised result.

Keywords: State estimation; Fractional-order; Complex-valued neural networks; Interval parameter uncertainty; Time delay (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:373:y:2020:i:c:s0096300320300023

DOI: 10.1016/j.amc.2020.125033

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