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

Volume

1

fYear

1998

fDate

1-4 Sep 1998

Firstpage

26

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Trieste

Print_ISBN

0-7803-4104-X

Type

conf

DOI

10.1109/CCA.1998.728238

Filename

728238