Related Experiment Video
Updated: Feb 7, 2026

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
Published on: September 1, 2018
Hierarchical Stability Conditions for a Class of Generalized Neural Networks With Multiple Discrete and Distributed
Abstract:
This brief investigates the analysis issue for global asymptotic stability of a class of generalized neural networks with multiple discrete and distributed delays. To tackle delays arising in different neuron activation functions, we employ a generalized model with multiple discrete and distributed delays which covers various existing neural networks. We then generalize the Bessel-Legendre inequalities to deal with integral terms with any linearly independent functions and nonlinear function of states. Based on these inequalities, we design the Lyapunov-Krasovskii functional and derive hierarchical linear matrix inequality stability conditions. Finally, three numerical examples are provided to demonstrate that the proposed method is less conservative with a reasonable numerical burden than the existing results.
Related Concept Videos
BIBO stability of continuous and discrete -time systems
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
RNA Stability
Generalized Hooke's Law
Generalized Anxiety Disorder
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Social Foundations of Self II: The Generalized Other

