Global Mittag-Leffler stability of fractional-order quaternion-valued neural networks with neutral delays on time scales
- 29 January 2026
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 674
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62576054)
- Chongqing Research Program of Technological Innovation and Application Demonstration (CYS25573)
This publication has 32 references indexed in Scilit:
- Stability and exponential lag-synchronization of a class of neural network with state dependent and distributed delays over a time scaleNeural Processing Letters, 2025
- Improved stability results for neural networks of neutral type with additive time‐varying delays and Markovian jumping parametersMathematical Methods in the Applied Sciences, 2024
- Stability analysis of discrete-time tempered fractional-order neural networks with time delaysFractional Calculus and Applied Analysis, 2024
- Stability of discrete‐time fractional‐order time‐delayed neural networks in complex fieldMathematical Methods in the Applied Sciences, 2020
- Finite-time stability for a class of fractional-order fuzzy neural networks with proportional delayFuzzy Sets and Systems, 2020
- A survey of quaternion neural networksArtificial Intelligence Review, 2019
- Stability and synchronization criteria for fractional order competitive neural networks with time delays: An asymptotic expansion of Mittag Leffler functionJournal of the Franklin Institute, 2019
- Discrete Fractional‐Order BAM Neural Networks with Leakage Delay: Existence and Stability ResultsAsian Journal of Control, 2018
- Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delaysNonlinear Dynamics, 2014
- Global exponential stability of neutral-type impulsive neural networks with discrete and distributed delaysNonlinear Analysis: Hybrid Systems, 2010