INVESTIGADORES
MARTINEZ Ernesto Carlos
congresos y reuniones científicas
Título:
Intelligent Control Based on Reinforcement Learning for Batch Thermal Sterilization of Canned Foods
Autor/es:
S. SYAFIIE; C. VILAS; M. GARCÍA; A. A. ALONSO; E. C. MARTÍNEZ; F. TADEO
Lugar:
Seúl
Reunión:
Congreso; IFAC World Congress; 2008
Institución organizadora:
International Federation of Automatic Control
Resumen:
A control technique based on Reinforcement Learning is proposed for controlling thermal sterilization of canned food. The proposed Model-Free Learning Control (MFLC) has the objective of maintaining temperature in the first part of the process (heating up by flowing or manipulating saturated steam), by learning without using a mathematical model of the process. From the defined state-action space, the MFLC agent learns the environment by looking up of the tabular state-action mapping. The results show the advantages of the proposed technique for this kind of processes.
