The ow of a closed surface of codimension 1 in R n driven by curvature is rst approximated by a singularly perturbed parabolic double obstacle problem with small parameter " > 0. Conforming piecewise linear nite elements, with mass lumping, over a quasi-uniform and weakly acute mesh of size h are further used for space discretization, and combined with forward diierences for time discretization...

A recent verification study compared 11 large-scale cardiac electrophysiology solvers on an unambiguously defined common problem. An unexpected amount of variation was observed between the codes, including significant error in conduction velocity in the majority of the codes at certain spatial resolutions. In particular, the results of the six finite element codes varied considerably despite ea...

This study presents a method for the reduction of biophysically-based kinetic models for the active transport of ions. A lumping scheme is presented which exploits the differences in timescales associated with fast and slow transitions between model states, while maintaining the thermodynamic properties of the model. The goal of this approach is to contribute to modelling of the effects of dist...

This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. Parameters of the fuzzy estimator are adapted to minimize the estimat...

In this paper, we present a lumping method based on a particular class of colored Petri nets. We prove on an example that the method can be usefully applied to the performance evaluation of symmetric systems. Stochastic Petri nets [Nat 80, Mol 81, Zub 85] are more and more widely used for the performance evaluation of synchronized systems. Some extensions of the original models have been propos...

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...