Title :
A new hybrid formulation for the modeling and control of automated manufacturing systems
Author :
Balduzzi, Fabio ; Menga, Giuseppe
Author_Institution :
Dept. of Autom. & Comput. Sci., Polytech.. of Turin, Torino, Italy
Abstract :
A new approach for the modeling and control of automated manufacturing systems is presented. This formulation lends itself to a hybrid model that allows fast and direct design of the system configuration embedded with its optimal control policy. A discrete-time linear stochastic state variable model is formally derived from first and second order fluid approximation obtained by splitting the process into two hierarchical layers. This hybrid representation yields a complete dynamical description of the system and offers average values and variances of both performance measures and of their gradients with respect to the most significant design parameters
Keywords :
discrete event systems; flexible manufacturing systems; hierarchical systems; linear programming; optimal control; production control; stochastic systems; FMS; discrete event systems; discrete-time systems; flexible manufacturing systems; fluid approximation; hierarchical systems; hybrid model; linear programming; linear systems; modeling; optimal control; performance measures; stochastic system; Aggregates; Analytical models; Automatic control; Discrete event simulation; Flexible manufacturing systems; Manufacturing systems; Monitoring; Predictive models; Routing; Stochastic processes;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.728238
