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First in this master thesis some classical dynamic models for macroeconomic systems are presented. Then follow comparisons between keynesian and monetarist models. The greatest part of the thesis deals with different constructions of monetarist models for Sweden in the shape of linear difference equations with constant coefficients. The starting-point has been a well-known examination of the U.S.
This report includes: A definition of a language suitable for the description of nonlinear systems. Development of FORTRAN-routines that performs a compilation of the language to a pseudo-code and a routine to interpret and execute this code. The welding of the compiler and the execution-routine into a complete interactive simulation-package.
In this report a program for identification by the Maximum-Likelihood method is presented. The program is written in FORTRAN for a process computer, PDP-15. The application is limited to linear, single output, time-invariant dynamic systems with normal disturbances having rational spectra.
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 therefo
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 model of
