A SIMPLE NOISE MODEL WITH MEMORY FOR BIOLOGICAL SYSTEMS

A Simple Noise Model with Memory for Biological Systems

A noise source model, consisting of a pulse sequence at random times with memory, is presented. By varying the memory we can obtain variable randomness of the stochastic process. The delay time between pulses, i. e. the noise memory, produces different kinds of correlated noise ranging from white noise, without delay, to quasi-periodical process, with delay close to the average period of the pu...

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

A Simple Model for Acoustic Noise

A simple model of convection with memory

There are at least three distinct timescales that are relevant for the evolution of atmospheric convection. These are the timescale of the forcing mechanism, the timescale governing the response to a steady forcing and the timescale of the response to variations in the forcing. The last of these, tmem, is associated with convective lifecycles, which provide an element of memory in the system. A...

A Simple Model for Biological Aggregation with Asymmetric Sensing

In this paper we introduce a simple continuum model for swarming of organisms in which there is a nonlocal aggregation term with an asymmetric sensing kernel countered by a nonlinear diffusion. The model can be thought of as capturing the dynamics of organisms that aggregate responding to visual cues and whose field of vision is predominantly in the direction of motion. The model has a variety ...