Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI: | http://purl.tuc.gr/dl/dias/687538E8-759D-4C05-AD63-89780784DA2C | ||
| Year | 1999 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | G. A. Rovithakis, V. I. Gaganis, S. E. Perrakis and M. A. Christodoulou, "Neuro schedulers for flexible manufacturing systems", Computers in Industry, vol. 39, no.3, pp. 209-217, 1999. doi:10.1016/S0166-3615(98)00137-7 https://doi.org/10.1016/S0166-3615(98)00137-7 | ||
| Appears in Collections |
In this paper a dynamic neural network (DNN)-based controller is constructed to provide the basis upon which a scheduler is developed to guarantee that system production will reach the required demand while satisfying buffer capacity constraints. Lyapunov stability theory is used to prove boundedness of all signals in the closed loop.
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