FIXED-TIME Control of Static Neural Networks with Leakage Delays

The mathematical models for many problems are neural networks. The neural network model we study is static neural network, which contain leakage delays. Using Lyapunov function and inequality analysis method, we use vector symbol function to design Lyapunov function and fixed-time controller. The conditions for the stability rule theorem at fixed time are given by a set of matrix inequalities. Using a three-dimensional example, we plot the solutions without controller and with controller to verify the results in our paper.

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Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019452
Primary Topic
Neural Networks and Applications
Type
article
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article

FIXED-TIME Control of Static Neural Networks with Leakage Delays

Guixia Sui, Jingting Hu
Neural Networks and Applications
article

FIXED-TIME Control of Static Neural Networks with Leakage Delays

Guixia Sui, Jingting Hu
article en

Abstract

The mathematical models for many problems are neural networks. The neural network model we study is static neural network, which contain leakage delays. Using Lyapunov function and inequality analysis method, we use vector symbol function to design Lyapunov function and fixed-time controller. The conditions for the stability rule theorem at fixed time are given by a set of matrix inequalities. Using a three-dimensional example, we plot the solutions without controller and with controller to verify the results in our paper.

University of Jinan (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Neural Networks and Applications
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