Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

In this paper, we present new conditions ensuring existence, uniqueness, and Global
Asymptotic Stability (GAS) of the equilibrium point for a large class of neural networks. The …

This monograph presents a collection of results, observations, and examples related to
dynamical systems described by linear and nonlinear ordinary differential and difference …

The main purpose of developing stability theory is to examine dynamic responses of a
system to disturbances as the time approaches infinity. It has been and still is the object of …

The dynamical characteristics of continuous-time additive Hopfield-type neural networks are
studied. Sufficient conditions are obtained for exponentially stable encoding of temporally …

In this paper, we use the matrix measure technique to study the stability of dynamical neural
networks. Testable conditions for global exponential stability of nonlinear dynamical systems …

The authors show that diagonal stability of the interconnection matrix leads to a simple proof
of the existence, uniqueness, and global asymptotic stability of the equilibrium of a Hopfield …

The analog-to-digital converter (ADC) is a principal component in every data acquisition
system. Unfortunately, modern ADCs tradeoff speed, power, and accuracy. In this paper …

On equilibria, stability, and instability of Hopfield neural networks Page 1 534 IEEE
TRANSACTIONS ON NEURAL NETWORKS, VOL. 11, NO. 2, MARCH 2000 On Equilibria …

We first present results for the analysis and synthesis of a class of neural networks without
any restrictions on the interconnecting structure. The class of neural networks which we …