State Estimation for Complex-Valued Inertial Neural Networks with Multiple Time Delays
Open Access
- 18 May 2022
- journal article
- research article
- Published by MDPI AG in Mathematics
- Vol. 10 (10), 1725
- https://doi.org/10.3390/math10101725
Abstract
In this paper, the problem of state estimation for complex-valued inertial neural networks with leakage, additive and distributed delays is considered. By means of the Lyapunov–Krasovskii functional method, the Jensen inequality, and the reciprocally convex approach, a delay-dependent criterion based on linear matrix inequalities (LMIs) is derived. At the same time, the network state is estimated by observing the output measurements to ensure the global asymptotic stability of the error system. Finally, two examples are given to verify the effectiveness of the proposed method.Keywords
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