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The thesis is a part of a project which aims at developing highly autonomous controllers. The task of rough classification of system responses is considered. Neutral networks are trained to classify system dynamics from step- and inpulse responses. Two types of networks are discussed, the backpropagation net and Kohonen's self-organizing feature map. The theory behind these algorithms are pres
This master thesis is based on the Ph D thesis by Jean Le Bail at LAG (Laboratoire d'Automatique de Grenoble) concerning Asymptotic Continuous Petri Nets (ACPN). The major properties of ACPN are presented. Four special cases are discussed: accumulation, synchronization, divergence, and conflicts. A new and improved method of solving the conflict case has been added to an already existing algor
In this report discrete time optimal control of extreme values are investigated. Both the full information case and partial information case are discussed. There has been payed special attention to numerical solution of the Bellman equation. For a special full information case the optimal controller has been obtained by a numerical solution. This controller has been compared with the minimal varia
The report discusses mathematical modeling of thermal components, such as heat exchangers and control valves. A flexible model library for simulation has been developed. The object-oriented and equation-based modeling language Omola is used to describe the components in mathematical terms. The library of models can be used to build models of more complex thermal systems, such as heat exchanger uni
When converting electric power from AC to DC, a 12-pulse converter is often used. Unfortunately, the converter creates harmonics superimposed on the DC voltage. These are removed by filters. A passive filter is normally used, but active filters may be added for improved performance. However, the drift in component values due to fluctuations in temperature and the change in load, makes it difficult
