A concise tutorial description of the cellular neural network (CNN) paradigm is given, along
with a precise taxonomy. The CNN is defined, and the canonical equations are described …

The concept of impulsive control and its mathematical foundation called-pulsive di? erential
equations, or di? erential equations with impulse e? ects, or di? erential equations with …

Revolutionary and original, this treatise presents a new paradigm of Emergence and
Complexity, with applications drawn from numerous disciplines, including artificial life …

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

This paper proposes a robust adaptive control method for synchronization of uncertain
chaotic neural networks with mixed delays. Uncertainty and disturbance in the networks are …

Bifurcation phenomena and chaotic behavior in cellular neural networks are investigated. In
a two-cell autonomous system, Hopf-like bifurcation has been found, at which the flow …

A strange attractor has been found in a system described by a differential-difference
equation: a delayed cellular neural network composed by only two cells. A detailed analysis …

Several stability results and additional properties of the delay-type neural network and
cellular network dynamics are proved. As a typical example, it is proved that if the feedback …

This paper considers the chaotic synchronization problem of neural networks with time-
varying and distributed delays using impulsive control method. By utilizing the stability …

The field of cellular neural networks (CNNs) is of growing importance in non linear circuits
and systems and it is maturing to the point of becoming a new area of study in general …