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When regulating a process, the system being sampled, one can often regard the output as white noise. Often occuring is a wish to obtain an output as close to an optimal value as possible. At the same time, however, you demand this optimal value not to be exceeded too often. Thus, when you decide your set-point you have to consider the value of the standard deviation of the white noise. If the stan
This report deals with the problem of learning to classify observations from a mixture of random variables. The distributions of the random variables are of known functional forms but with unknown parameters.
This problem is equivalent to that of determining separating hypersurfaces in the range of the random variables. Any rule of classification will be a function of random variables and
I detta examensarbete redogörs för tre metoder att införa integratorer vid linjärkvadratisk optimering. För att jämföra metoderna har två system simulerats. Metoderna har i huvudsak jämförts med avseende på snabbhet, maximal amplitud och känslighet.
In this work mathematical models of a granulating process plant have been determined. The plant is situated at the SUPRA company, Landskrona Sweden. The product studied is a fertilizer NPK. In the process there are oscillations in the material flow. The models will be used an attempt to explain and hopefully control the process better.
In the first stage it was tried to obtain a physical
In this report studies have been done on two engines driving a common load via a mechanical gear. The engines are presumed to be linear within their working range. The aim is independently of load variations to get the engines' outgoing angular frequency to be equal to a given reference and to distribute the power between the engines in a given proportion. The report shows that certain arrange
Consider a system recieving signals from a signal-source. The signals describe different input situations. The purpose of the system is to classify the current situation. This can be obtained by means of recursive algorithms. The problem of finding such algorithms can be approached in many different ways. In this report we will assume a minimum of apriori information about the signals and the clas
