Discrete event system provides a general model for many systems in our daily life, such as manufacturing systems, building systems, transportation systems, and power systems. In these systems the dynamic is not triggered by time, but by events. They follow not only physical laws, but also man-made rules. It is of great practical interest to analyze and optimize the performance of these systems. In this session, we gather a few papers to show how this may be done by combining theoretical analysis with realistic applications.
We will investigate the modeling and control issues for max-plus linear systems with set-based constraints; the performance optimization of DES when there are nonlinear system dynamics; the optimization that is triggered by local and global events; the application of language projection and pruning on the synthesis of time optimal accepting traces; the application of a timed DES modular approach to the optimal scheduling of a cluster-tool system, and fault tolerance and recovery issues in supervisory control.
This session intends to provide some recent development in modeling and optimization of DES in general, and to provide their applications in various interesting problems in manufacturing and in smart buildings.