Abstract
In this paper, a solution for the control of a distributed parameter process, using a neural distributed parameter controller is presented. The main originality elements from the paper are the introducing of the distributed parameter controller concept, respectively the including of this type of controller in a control structure. In the paper, a method for tuning a distributed parameter controller is presented, taken as example the pH control system associated to a blunting process. Also, due to the complex structure of the controller two neural networks are used for its implementation. In order to highlight the main advantages of using of this type of controllers, some representative simulation results are presented.
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