A Geometric Method for Studying the Stability Switching Criteria with Two Discrete Delays

This paper studies the characteristic equations for a class of functional differential equations with two discrete delays, and a complete distribution of the characteristic roots is derived by a geometric method. With the method, one more type of stable switching curves is obtained. At first, the necessary and sufficient conditions for the existence of pure imaginary roots and crossing sets are established through the parallelogram rule. Then, after a careful analysis of the crossing set, the types of stable switching curves and the crossing direction are revealed. In addition, to validate the theoretical results obtained, an example of a neural network model with two discrete delays is presented.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-10-31
DOI
https://doi.org/10.1142/s0218127426500148
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

A Geometric Method for Studying the Stability Switching Criteria with Two Discrete Delays

Zhichao Jiang, Pengmiao Hao, Qi Liu, Jianzhi Cao
International Journal of Bifurcation and Chaos
Neural Networks Stability and Synchronization
article

A Geometric Method for Studying the Stability Switching Criteria with Two Discrete Delays

Zhichao Jiang, Pengmiao Hao, Qi Liu, Jianzhi Cao
article en

Abstract

This paper studies the characteristic equations for a class of functional differential equations with two discrete delays, and a complete distribution of the characteristic roots is derived by a geometric method. With the method, one more type of stable switching curves is obtained. At first, the necessary and sufficient conditions for the existence of pure imaginary roots and crossing sets are established through the parallelogram rule. Then, after a careful analysis of the crossing set, the types of stable switching curves and the crossing direction are revealed. In addition, to validate the theoretical results obtained, an example of a neural network model with two discrete delays is presented.

International Journal of Bifurcation and ChaosVol. 36(02)
North China Institute of Aerospace Engineering (CN), Hebei University (CN)
Openalex Percentile: Top 63%
Neural Networks Stability and Synchronization
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