Stability Analysis of Different Quaternion‐Valued Impulsive BAM Neural Networks With Unknown Parameters and Time‐Varying Delays
Year: 2025
Type: article
Abstract: ABSTRACT The adaptive stability of heterogeneous quaternion‐valued impulse bidirectional associative memory (BAM) neural networks with time‐varying delays and unknown parameters was studied. A new construction of an adaptive controller and the derivation of related stability criteria are presented. It is achieved by designing a new Lyapunov function, incorporating appropriate assumptions into the potential differential equation, and adopting key inequality techniques. Finally, the validity of the proposed conditions is illustrated through numerical examples.
Source: Engineering Reports
DOI: 10.1002/eng2.70530
Institution: Kunming University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
OpenAlex ID: W7117291211