Control of Manufacturing Systems Using State Feedback and Linear Programming

Most studies on control of discrete event manufacturing systems focus on control in the event domain. However, in real-life production environments, events occur while time elapses. In this study we develop an explicit state feedback controller in a model predictive control (MPC) setting for the class of manufacturing systems where only communication and no choice occurs. The state of the manufacturing system is specified as a function of time instead of events. For larger systems, where explicit feedback control is too difficult or time consuming, we present an MPC control framework based on repeatedly solving linear programming problems