Real-time control of manufacturing cells using dynamic neural networksReal-time control of manufacturing cells using dynamic neural networks Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-11-071999enIn this paper, a control aspect of the non-acyclic FMS scheduling problem is considered. Based on a dynamic neural network model derived herein, an adaptive, continuous time neural network controller is constructed. The actual dispatching times are determined from the continuous control input discretization. The controller is capable of driving system production to the required demand and guaranteeing system stability and boundedness of all signals in the closed-loop system. Modeling errors and discretization effects are taken into account thus rendering the controller robust. A case study demonstrates the efficiency of the proposed technique.http://creativecommons.org/licenses/by/4.0/Automatica351139-149 Rovithakis, George A., 1968- Gaganis Vasileios Γαγανης Βασιλειος Perrakis, Stelios Christodoulou Manolis Χριστοδουλου Μανωλης Elsevier Artificial neural networks Nets, Neural (Computer science) Networks, Neural (Computer science) Neural nets (Computer science) neural networks computer science artificial neural networks nets neural computer science networks neural computer science neural nets computer science