Capability and limitation of max- and sum-type construction of Lyapunov functions for networks of iISS systems

This paper addresses the problem of verifying stability of networks whose subsystems admit dissipation inequalities of integral input-to-state stability (iISS). We focus on two ways of constructing a Lyapunov function satisfying a dissipation inequality of a given network. Their difference from one another is elucidated from the viewpoint of formulation, relation, fundamental limitation and capability. One is referred to as the max-type construction resulting in a Lipschitz continuous Lyapunov function. The other is the sum-type construction resulting in a continuously differentiable Lyapunov function. This paper presents geometrical conditions under which the Lyapunov construction is possible for a network comprising $n\ge 2$ subsystems. Although the sum-type construction for general $n>2$ has not yet been reduced to a readily computable condition, we obtain a simple condition of iISS small gain in the case of $n=2$. It is demonstrated that the max-type construction fails to offer a Lyapunov function if the network contains subsystems which are not input-to-state stable (ISS).     

Geoadditive expectile regression

Quantile regression has emerged as one of the standard tools for regression analysis that enables a proper assessment of the complete conditional distribution of responses even in the presence of heteroscedastic errors. Quantile regression estimates are obtained by minimising an asymmetrically weighted sum of absolute deviations from the regression line, a decision theoretic formulation of the estimation problem that avoids a full specification of the error term distribution. Recent advances in mean regression have concentrated on making the regression structure more flexible by including nonlinear effects of continuous covariates, random effects or spatial effects. These extensions often rely on penalised least squares or penalised likelihood estimation with quadratic penalties and may therefore be difficult to combine with the linear programming approaches often considered in quantile regression. As a consequence, geoadditive expectile regression based on minimising an asymmetrically weighted sum of squared residuals is introduced. Different estimation procedures are presented including least asymmetrically weighted squares, boosting and restricted expectile regression. The properties of these procedures are investigated in a simulation study and an analysis on rental fees in Munich is provided where the geoadditive specification allows for an analysis of nonlinear effects of the size of flats or the year of construction and the spatial distribution of rents simultaneously.     

Referenzmodellierung für E-Government-Services

The realisation of E-Government Services in Switzerland makes only little progresS. Reasons are — on the one hand — the federal constitution of the Swiss Confederation. On the other hand, public administrations are concerned about the high initial effort and the corresponding financial investmentS. As a partner in the EU–funded project OntoGov the Swiss Federal Chancellery now takes over an active role in the configuration of E–Government services. With the OntoGov system reference process models are provided at various abstraction layerS. Public administrations can adapt these reference models to their specific needs and make them available for the citizenS. Decisions for designing and adapting reference processes are explicitly modelled using ontologies, making the decision process traceable. Thus, subsequent changes in the reference models can be transferred to all the depending models.     

Biomechanical assessment of new hand-powered pruning shears

The aim of the study was to assess the biomechanical strains on the hand-wrist system during grapevine pruning with newly designed pruning shears. Surface electromyography of the finger flexor muscle and wrist postures were analyzed in four vineyard workers during actual work with the new and reference hand-powered pruning shears. Due to the large inter-individual differences in biomechanical data observed with both pruning shears, no systematic effect of the new pruning shears on "extreme" flexion/extension (F/E) and ulnar/radial (U/R) wrist deviations was demonstrated. However, the use of the new pruning shears was associated with a higher frequency of "neutral and moderate" U/R deviations (U/R < 20%(max)) and, to a lesser extent, of "neutral and moderate" F/E deviations (F/E < 20%(max)). Due to the small sample of workers, this result must be confirmed in a larger population of vineyard workers.     

An analytical model for snapback in n-channel SOI MOSFET's

An analytical snapback model for n-channel silicon-on-insulator (SOI) transistors with body either tied to the source or floating is been presented. The snapback is modeled as a nonlinear feedback system leading to negative transconductances from which the jump in current can occur at the point of instability. The crux of this model is based on the strong dependence of the transistor threshold voltage on the body potential when the body potential is above the transistor surface potential at strong inversion. No parasitic bipolar action is invoked to account for the snapback phenomena. The model correctly predicts the occurrence of hysteresis/latch phenomena and the conditions under which the current jump occurs despite some gross approximations in the electric field and the injection level. Results obtained from this model show good agreement with experimental data measured from SIMOX devices fabricated on 0.3-μm epi film