Neuro schedulers for flexible manufacturing systemsNeuro schedulers for flexible manufacturing systems Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-11-071999enIn 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.http://creativecommons.org/licenses/by/4.0/Computers in Industry393209-217 Rovithakis, George A., 1968- Gaganis Vasileios Γαγανης Βασιλειος Perrakis, Stelios Christodoulou Manolis Χριστοδουλου Μανωλης Elsevier Flexible production systems FMS (Production engineering) Manufacturing systems, Flexible Production systems, Flexible flexible manufacturing systems flexible production systems fms production engineering manufacturing systems flexible production systems flexible Automatic computers Automatic data processors Computer hardware Computing machines (Computers) Electronic brains Electronic calculating-machines Electronic computers Hardware, Computer computers automatic computers automatic data processors computer hardware computing machines computers electronic brains electronic calculating machines electronic computers hardware computer