Input{output linearization is a method that uses nonlinear state feedback control to obtain linear equations between the input and output of a nonlinear control system. Its success depends crucially on the ability of the control to steer the state across the level sets of the output function. It is clear that this is essentially a global geometrical problem. In this work, we present a lineariza...

a r t i c l e i n f o a b s t r a c t We propose a fully automated parameter estimation framework for performing patient-specific hemodynamic computations in arterial models. To determine the personalized values of the windkessel models, which are used as part of the geometrical multiscale circulation model, a parameter estimation problem is formulated. Clinical measurements of pressure and/or ...

To realize a structure which can be conveniently tuned to multiple and wideband frequency ranges, geometrical-stiffening membrane acoustic metamaterial (MAM) with individually tunable frequencies is presented. The MAM realized by stacked arrangement of two membrane-magnet elements, each has small piece steel attached in the centre. It adjusting position its compact magnet. normal incidence soun...

In recent experiments investigating the nonlinear interaction between light and nematic liquid crystals, Braun et al. (1993) observed complex optical beam structures that were generated by the strong self-focussing of laser light. For a simplified partial differential equation (PDE) model which captures the essential coupling between optical refraction and nematic deformation, we demonstrate tw...

In this paper we present a two-step boundary detection algorithm. The "rst step is a nonlinear smoothing algorithm which is based on an orientation-sensitive probability measure. By incorporating geometrical constraints through the coupling structure, we obtain a robust nonlinear smoothing algorithm, where many nonlinear algorithms can be derived as special cases. Even when noise is substantial...