Fixed/predefined-time stabilization based on hyperbolic cosine function for memristive neural networks with mixed delays

Franklin Open 2026 Open access

Read full text
Authors: Zhongtao He, Guodong Zhang, Shiping Wen
DOI: 10.1016/j.fraope.2026.100555
Cited by: 2
References: 29

Abstract

This study explores fixed-time (FXT) stabilization, predefined-time (PDT) stabilization for a specific category of nonlinear dynamic systems. Through the introduction of the hyperbolic cosine function and the application of the Lyapunov approach, innovative FXT and PDT stabilization theorems are put forward. Leveraging these theoretical outcomes, FXT and PDT stabilization is realized for memristive neural networks (MNNs) with mixed delays by devising a suitable control strategy. Eventually, numerical simulation cases are presented to verify the core research results.

Fields of Study & Subjects

Neural Networks Stability and Synchronization Advanced Memory and Neural Computing stochastic dynamics and bifurcation

Publication details

Journal / source
Franklin Open
Publisher
Elsevier BV
Volume
15
Pages
100555–100555
Publication date
27 February 2026
Language
EN