Abstract
The paper extends the hybrid control for the continuous radiopharmaceuticals production processes to supervisory control in order to add new functionalities and behavioural modes: optimal offline planning of the production process, adjusting on line the parameters of the process in current execution, and conditioning the process execution by the evolution of the environment context. The present research demonstrates the possibility of applying directly the holonic control paradigm to hybrid supervised control of continuous processes, exemplified by the production of radiopharmaceuticals. The design of an intelligent control solution for this type of processes uses the holonic hybrid supervised control architecture with optimally planned demand sequence which groups demands into commands and orders which are derived from a master product recipe. Implementing solutions are provided.
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