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Stability Analysis of Discrete-Time Adaptive Control Schemes

The stability properties of a fairly general diserete-time adaptive control scheme are analyzed. Sufficient conditions forL^{\infty}stability in the presence of disturbances are given. The stability results are used to prove convergence of the process outputs in the disturbance-free case, without requiring any a priori stability assumption.

Production and activation of recombinant hK2 with propeptide mutations resulting in high expression levels

Human glandular kallikrein 2 (hK2) is a serine protease expressed mainly by the prostate gland with 80% identity in primary structure to prostate specific antigen (PSA). hK2 has proven to be a useful marker of prostate cancer which can be used in combination with PSA to better discriminate between prostate cancer and benign prostate hyperplasia. The studies on hK2 have been hampered by its very lo

Statistical Properties of Envelope Field for Gaussian Sea Surface

The envelope process is a useful analytical tool which is often used to study wave groups. Most research on statistical properties of the envelope, and thus of wave groups, was focused on one dimensional records. However for the marine application, an appropriate concept should be two dimensional in space and variable int time. Although a generalization to higher dimensions was introduced by Adler

The impact of investments in innovation practices on competitive advantage.

In an increasingly competitive environment, technical innovation in products and processes is by a vast number of manufacturing companies regarded as one of the most powerful enablers to differentiate from competitors and achieve competitive advantage. Accordingly, some manufacturing companies spend significant amounts of investments in innovation projects. In this paper, we examine the relationsh

Brain and Environment: The Use of Brain Wave Analysis in Environmental Psychology

In neuroscience a number of new techniques have been developed by means of which it has become possible to study the activity of the living human brain. By means of these techniques we are beginning to understand the neurophysiology behind environmental attitudes and preferences. In addition to an introduction to cognitive neuroscience, this invited symposium contains a number of presentations, wh

Tools and Languages for Modeling and Optimization of Large-Scale Dynamical Systems

High-level modeling languages are receiving increased industrial and academic interest within several domains, such as chemical engineering, thermo-fluid systems and automotive systems. One such modeling language is Modelica. Modelica is an open language, specifically targeted at multi-domain modeling and model re-use. Key features of Modelica include object oriented modeling, declarative equation