Hybrid agent based control architecture supported by T-temporal Petri nets

Abstract

Presents a hybrid agent based architecture for the control of flexible manufacturing systems The main goal of the architecture is to solve a class of problems raised by agent based control systems: the non-optimality of the control policy, especially from the time point of view. A supervisory level is designed for this purpose, having as its main task to evaluate different possible control policies and to advise agents in choosing the optimal one. The modeling support used for this purpose is T-temporal Petri nets.