Lyapunov Functions and Stability Properties of Fractional Cohen–Grossberg Neural Networks Models with Delays
Some inequalities for generalized proportional Riemann–Liouville fractional derivatives (RLGFDs) of convex functions are proven. As a special case, inequalities for the RLGFDs of the most-applicable Lyapunov functions such as the ones defined as a quadratic function or the ones defined by absolute v...
Main Authors: | Ravi P. Agarwal, Snezhana Hristova, Donal O’Regan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Fractal and Fractional |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3110/7/10/732 |
Similar Items
-
Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network
by: Guanjun Wang, et al.
Published: (2010-04-01) -
Stability Concepts of Riemann-Liouville Fractional-Order Delay Nonlinear Systems
by: Ravi Agarwal, et al.
Published: (2021-02-01) -
Impulsive Memristive Cohen–Grossberg Neural Networks Modeled by Short Term Generalized Proportional Caputo Fractional Derivative and Synchronization Analysis
by: Ravi Agarwal, et al.
Published: (2022-07-01) -
Stability of Delay Hopfield Neural Networks with Generalized Riemann–Liouville Type Fractional Derivative
by: Ravi P. Agarwal, et al.
Published: (2023-07-01) -
Stability of delay Hopfield neural networks with generalized proportional Riemann-Liouville fractional derivative
by: Ravi P. Agarwal, et al.
Published: (2023-09-01)