Application of NN-SANARX model for identification and control liquid level tank system
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The present contribution may be seen in application of the classical control technique (linearization via dynamic output feedback) and neural networks based modeling to control a water level in a tank system. In the paper we describe all design steps: starting from collecting the input-output (i/o) data of a process and finishing with implementation and test of the synthesized controller on a real plant. Therefore, the research, presented in the paper, can be seen as a preliminary step towards real industrial application.