ARTIFICIAL NEURAL NETWORKS IN PROCESS CONTROL
Keywords:
Artificial Neural Networks, Continual Bioreactor, Internal Model ControlAbstract
There is demonstrated one possibility of artificial neural networks usage in process control, in this paper. First, it is shown how to create dynamic neural model of a plant, then its inverse neural model and in the end, these models are used to synthesise the Internal Model Control network. Although this procedure is demonstrated on the example of continual bioreactor control, it can be applied to many other spheres.
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Copyright (c) 2020 Petr Doležel, Ivan Taufer
This work is licensed under a Creative Commons Attribution 4.0 International License.
