Fixed/Preassigned-Time Stabilization for Complex-Valued Inertial Neural Networks with Distributed Delays: A Non-Separation Approach

Yu Yao, Guodong Zhang and Yan Li ()
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Yu Yao: College of Mathematics and Statistics, South-Central MinZu University, Wuhan 430074, China
Guodong Zhang: College of Mathematics and Statistics, South-Central MinZu University, Wuhan 430074, China
Yan Li: School of Science, Huazhong Agricultural University, Wuhan 430072, China

Mathematics, 2023, vol. 11, issue 10, 1-17

Abstract: This article explores complex-valued inertial neural networks (CVINNs) with distributed delays (DDs). By constructing two new feedback controllers, some novel results on fixed-time stabilization (FTS) and preassigned-time stabilization (PTS) of CVINNs are established. Unlike most of the previous works, FTS and PTS obtained here are explored without dividing the original complex-valued system into two separate real valued subsystems. Eventually, to verify the effectiveness and reliability of the results of this article, we provide several numerical examples. The FTS and PTS of CVINNs are successfully implemented at T = 6, 5.5, and 5, and the settling time is not affected by system parameters and initial values.

Keywords: complex-valued neural networks; inertial terms; distributed delays; fixed-time stabilization; preassigned-time stabilization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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