Method For Operating A Process System, Process System, And Method For Converting A Process System

Abstract: The invention relates to a method for operating a process system (100), in which one or more actuators in the process system (100) are set by means of one or more control values, whereby one or more operating parameters of the process system (100) are influenced. The setting of the one or more control values is carried out at least in an operating phase using a self-optimizing control process, the self-optimizing control process comprising the use of model-based reinforcement learning using Gaussian processes, and wherein one or more components of the process system (100) are imaged in a model by means of one or more Gaussian processes, which model is used in the model-based reinforcement learning. The present invention also relates to a corresponding process system (100) and to a method for converting a process system (100).

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