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The paper addresses some key problems that arise in applications of adaptive control to industrial processes, prior knowledge, design based on simplified models, initialization and start up. Different ways of solving the problems are discussed. A new technique for automatic tuning of simple control loops is presented. The method has the advantage of automatically generating test signals whose prop
The concentrations of sulfur and several more elements were measured in a network of six sites in southern Sweden. High time resolution samples were taken using a continuous filter sampler and analysed by particle induced X-ray emission (PIXE). Simultaneous increases in the sulfur concentrations were seen along the network due to the inflow of polluted air masses. High sulfur concentrations genera
In this seminar paper, I attempt an in-depth analysis of a collection of articles published in historical periodicals in Finland 1990-2000. My main interest concerns how the writers – mainly professional historians, representatives of scientific ideals of their age – discussed the idea of the Finnish nation during this decade, and how these discussions reflect a certain understanding of the work o
Problem statement. Despite their success-story, neural networks have one major disadvantage compared to other techniques: the inability to explain comprehensively how a trained neural network reaches its output; neural networks are not only (incorrectly) seen as a “magic tool” but possibly even more as a mysterious “black box” [1]. This is an important aspect of the functionality of any technology
The aim of this study is to see how geometry generated turbulence affects the Rate of Heat Release (ROHR) in an HCCI engine. HCCI combustion is limited in load due to high peak pressures and too fast combustion. If the speed of combustion can be decreased the load range can be extended. Therefore two different combustion chamber geometries were investigated, one with a disc shape and one with a sq
