Control Reconfiguration of Complex Discrete Event Dynamic Systems

1. Control Reconfiguration of Complex Discrete Event Dynamic Systems Investigators: HoushangDarabi, Mechanical and Industrial Engineering; Prime Grant Support: NIST, Motorola, IVRI • Today’s manufacturing and service information systems (IS) contain complex decision making processes. • These processes can be modeled as supervisory control problems with dynamic control specifications. • Many theoretical results and software tools are already available to analyze supervisory control problems. • Discrete manufacturing IS, hospital IS and supply chain IS are governed by the same control principals. • Control specifications of these system change over time and require reconfiguration of their control rules. • Modeling of systems by Petri Nets and Finite Automata • Modular and hierarchical decomposition of control • Formal verification and validation of system properties • Classification of reconfiguration needs and triggers • Cost/benefit modeling of reconfiguration response • Simulation modeling and analysis of systems based regular events and reconfiguration events • Supervisory control of discrete event systems • Systematic methods for modeling of manufacturing IS • Automatic procedures to reconfigure PLC programs subject to sensor failures • Systematic procedures for modeling hospital IS • Modeling and analysis tools assisting medical service control systems during mass casualty situations • Simulation models for hospital resource assignment • Adaptive mixed integer programming models for reconfiguring supply chain controllers • Standard supply chain agent models for distributed decision making and peer to peer communication