ADJUSTABLE FRACTIONAL ORDERDIFFERENTIATOR

controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts.. The optimization is tested for several well- known functions

In section V, we propose a chaotic communication system using the state observer design method and sufficient condi- tions for the convergence of the fractional-order state

It is then possible to take into account these two results in the determination of the high level synthesis parameters of the limited bandwidth fractional differentiator to

As in previous section (dedicated to discrete domain models), the aim addressed in reference [1] was the deriva- tion of a continuous domain fractional eld framework associated

The proposed identi?cation method is based on the recursive least squares algorithm applied to an ARX structure derived from the linear fractional order differential equation

The proposed identification method is based on the recursive least squares algorithm applied to a linear regression equation derived from the linear fractional order

The proposed identification technique is based on the recursive least squares algorithm applied to a linear regression equation using adjustable fractional order differentiator

Deux protéases acides sont extraites à partir des fleurs de deux plantes locales appartenant à la famille des composés, Onopordum acanthium et Galactites tomentosa. Une