We develop sampled-data controllers for parabolic systems governed by uncertain semilinear diffusion equations with distributed control on a finite interval.
This paper proposes a full grid interval collocation method (FGICM) and a sparse grid interval collocation method (SGICM) to solve the uncertain heat convection-diffusion problem with interval input parameters in material properties, applied loads and boundary conditions.
With few exceptions, a more precise correspondence between physiological or biophysical properties and the obtained diffusion parameters remain uncertain due to lack of specificity.
These areas may also demonstrate restricted diffusion, which is of uncertain aetiology but may be on basis of cell death and cytotoxic oedema (Fig. 1).
Surface diffusion coefficient values are still uncertain; however, according to the molecular dynamic simulation results of gas transport in kerogen (Falk et al. 2015), the surface diffusion coefficient is of the same scale of the molecular self-diffusion coefficient.
The cause for this lack of increase in oxygen extraction remains uncertain but may be attributable to diminished diffusion of oxygen from the microcirculation to mitochondria because of a reduced P a O 2 gradient.
The mechanism of this undesirable event remains uncertain; it may be related to lower cephalic diffusion of the local anesthetic and the consequent lower reduction of systemic vascular resistances.
In fact, new irrigation technology in Chile is indeed in an early phase of the technological cycle, where lower levels of knowledge and diffusion may possibly be adding an additional uncertain component that would offset the advantages of modern irrigation.
A problem of H∞-disturbance attenuation for uncertain discrete-time stochastic processes under Markovian switching and random diffusion (noise) subject to norm bounded parameter uncertainties is considered.
