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This paper describes a simple rule-based approach for the state detection in a biological waste water treatment plant. The plant shows bi-stable behaviour that makes its control a challenging and difficult task. The good operating point is difficult to reach and easy to lose. The approach combines the mathematical model of the plant and the available(More)
Modified feeding combining the benefits of restricted feeding after ovulation and abundant feeding during implantation in autumn was tested. Three groups of eight gilts were housed with individual feeding stalls and fed 40 MJ per day of a commercial ration. Following insemination gilts were fed 27 MJ per day (LLL) or 54 MJ per day (HHH) for 34 days or 27 MJ(More)
In this study, real-coded genetic algorithms are used in the parameter identification of the macroscopic Chemostat model. The Chemostat model utilized in this work is nonlinear having two distinct operating areas. Thus, the model is identified separately for both operating areas. The process simulator is used to generate data for the parameter(More)
In a continuous chemical process, the accuracy and reliability of process and analytical measurements creates the basis for control system performance and ultimately for product uniformity. Measurement results, whether from fast on-line measurement devices or from sample-based laboratory analyses, is the key for selecting the method for process control and(More)
The importance of nutritional guidance grows as nutritional problems, such as obesity and type-2 diabetes, are becoming more common. Nutritional guidance is carried out by mapping the nutritional state of an individual using a food diary and by comparing the nutrition intake levels to the recommended reference values. Typically, the expert knowledge of a(More)
This study introduces a theoretical bioprocess of ideally stirred Chemostat. Chemostat models give an insight to real-life bioprocess systems, in particular biological water treatment. The studied process is very nonlinear due to inhibition of desired reactions by high substrate concentration. The aim of this study is to demonstrate the possibilities of(More)
The Basic Oxygen Furnace (BOF) is studied in this paper. BOF is a sub process in a blast furnace based steel making process, in which most of carbon is burned away from the pig iron. The carbon is burned away by using pure oxygen, which is blown through a lance into the mixture of pig iron and recycled steel. Previously the splashing in BOF has been mainly(More)
Evolutionary algorithms are optimization methods which basic idea lies in biological evolution. They suit well for large and complex optimization problems. In this study, genetic algorithms and differential evolution are used for identifying the parameters of the nonlinear fuel cell model. Different versions of the algorithms are used to compare the methods(More)