This paper considers the problem of finite-time boundedness (FTB) of the general delayed neural networks with norm-bounded parametric uncertainties.

This paper considers the problem of finite-time boundedness (FTB) of the general delayed neural networks with norm-bounded parametric uncertainties.

In this paper, the problem of finite-time boundedness (FTB) for neural networks with parameter uncertainties is studied. We extend the concept of FTB for ...

This paper considers the problem of finite-time boundedness (FTB) of the general delayed neural networks with norm-bounded parametric uncertainties and ...

Abstract. This paper considers the problem of finite-time bounded- ness (FTB) of the general delayed neural networks with norm-bounded.

Finite-Time Boundedness Analysis of Uncertain Neural Networks with Time Delay: An LMI Approach. Y. Shen, L. Zhu, and Q. Guo. ISNN (1), volume 4491 of ...

The existence of time delays may cause divergence, oscillation, and even instability in dynamic systems and usually leads to unsatisfactory performances.

Finite time boundedness for certain and uncertain neutral type neural networks are investigated based on the Lyapunov stability theory and linear matrix ...

This paper considers the problem of finite-time boundedness (FTB) of the general delayed neural networks with norm-bounded parametric uncertainties.

The problem of finite-time boundedness(FTB) for a class of Cohen-Grossberg neural networks(CGNNs) with multiple delays and parameter perturbations is ...