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Robust Stability of Uncertain Hopfield Neural Networks With Proportional Delays

Year: 2024

Type: article

Abstract: The problem of robust stability is investigated for a class of uncertain Hopfield-type neural networks with proportional delays. The existence and uniqueness of an equilibrium is first established using the homeomorphic mapping theorem. Then, by employing a modified Lyapunov–Krasovskii functional, a new criterion for the global asymptotic stability of an equilibrium point of the system is formulated.

Source: Journal of Science Natural Science

DOI: 10.18173/2354-1059.2024-0031

Author: Dang Thi Thu Hien

Institution: Trường Đại học Hoa Lư

Language: English

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4405121952

FWCI:

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