CIFICEN 24414
CENTRO DE INVESTIGACIONES EN FISICA E INGENIERIA DEL CENTRO DE LA PROVINCIA DE BUENOS AIRES
Unidad Ejecutora - UE
artículos
Título:
Buffer System Control for Hybrid Plants
Autor/es:
DE PAULA, MARIANO; AVILA, LUIS; SANCHEZ REINOSO, CARLOS
Revista:
IEEE LATIN AMERICA TRANSACTIONS
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Año: 2018 vol. 16 p. 728 - 734
ISSN:
1548-0992
Resumen:
The use of multimodal control techniques for batch dynamic systems offers a promising alternative to successfully perform tasks of supervision and control in industrial processes. These techniques seek to integrate different control strategies with partial objectives or "behaviors" using Lebesgue automatons overlooking achieve certain operational objectives. These automatons can identify optimal sequences of modes, also called control programs, using system simulations. Multimodal control programs consist of a sequence of modes, each of which comprises a feedback control law (x) and relevant termination conditions (x,T). In this paper the use of a reinforcement learning algorithm is described via to find, by simulations, optimal control program aligned to maximize productivity in a buffer system composed of two tanks.
