Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an
experimentally proven new computing paradigm. Analogic cellular computers based on …

A cellular neural/nonlinear network (CNN)[Chua, 1998] is a biologically inspired system
where computation emerges from a collection of simple nonlinear locally coupled cells. This …

In 1988 Kennedy and Chua introduced the dynamical canonical nonlinear programming
circuit (NPC) to solve in real time nonlinear programming problems where the objective …

To solve systems of time-varying nonlinear inequalities, this paper proposes two new types
of Zhang neural networks. The first new type of Zhang neural network is based on the …

For avoiding obstacles and joint physical constraints of robot manipulators, this paper
proposes and investigates a novel obstacle avoidance scheme (termed the acceleration …

In this paper, we propose a universal piecewise-linear (PWL) CNN coupling cell, the
simplicial cell, which is intended to work with binary as well as gray-level inputs. The …

In a recent work, a new method has been introduced to analyze complete stability of the
standard symmetric cellular neural networks (CNNs), which are characterized by local …

This paper considers a class of nonsymmetric cooperative neural networks (NNs) where the
neurons are fully interconnected and the neuron activations are modeled by piecewise …

In recent years, the standard Cellular Neural Networks (CNN's) introduced by Chua and
Yang [1988] have been one of the most investigated paradigms for neural information …

This paper introduces a novel neural architecture which is capable of similar performance to
any of the" classic" neural paradigms while having a very simple and efficient mixed-signal …