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In this paper, the amino acid profiles of algal products from diverse groups (Cyanophyceae, Chlorophyta, Rhodophyta and Phaeophyta) were established. Contents of essential and non-essential amino acids varied in the range of 22.8–42.3 and 31.0–66.5 (g·16g −1 N), respectively. In dependence on daily algal intakes, the highest participation in recommended daily intakes (RDI; related to adult,...
This paper describes the application of artificial neural network with radial basis function as a predictor in model predictive control. Radial basis function neural networks are known for their fast training. Thus, this type of artificial neural networks offers promising way how to reduce computational cost during offline predictor training and eventual online adaptation. The features of this type...
This paper deals with model predictive control (MPC) of chemical exothermic semi-batch reactor. A first order chemical reaction is considered to be running in the reactor. The reaction is strongly exothermic so the in-reactor temperature is rising very fast due to reaction component dosing. Thus, the temperature control is necessary. The simulation model of the plant was developed in the MATLAB/Simulink...
Generally the artificial neural networks (ANN) are regarded as highly computational demanding method. The usage of ANN in model predictive control as an adaptive predictor is mostly impossible. The aim of this paper is to present and compare one possible way how to reduce computational costs of adaptive predictors based on artificial neural networks. This paper presents real-time system control by...
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