Model predictive control for discrete-event and hybrid systems – Part I : Discrete-event systems ∗

@inproceedings{Schutter2004ModelPC,
  title={Model predictive control for discrete-event and hybrid systems – Part I : Discrete-event systems ∗},
  author={Bart De Schutter and Ton J. J. van den Boom},
  year={2004}
}
Model predictive control (MPC) is a very popular controller design method in the process industry. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs. Usually MPC uses linear or nonlinear discrete-time models. In this paper and its companion paper (“Part II: Hybrid Systems”) we give an overview of some results in connection with MPC approaches for discrete-event systems and hybrid systems. In general the resulting optimization problems are nonlinear and… CONTINUE READING

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