Model predictive control for randomly switching max-plus-linear systems using a scenario-based algorithm

@article{Boom2010ModelPC,
  title={Model predictive control for randomly switching max-plus-linear systems using a scenario-based algorithm},
  author={Ton J. J. van den Boom and Bart De Schutter},
  journal={49th IEEE Conference on Decision and Control (CDC)},
  year={2010},
  pages={2298-2303}
}
Switching max-plus-linear (SMPL) systems are discrete event systems that can switch between different modes of operation. In each mode the system is described by a max-plus-linear state equation and a max-plus-linear output equation, with different system matrices for each mode. The switching between from one mode to the other is a stochastic process. In the model predictive control (MPC) formulation stability is enforced by additional constraints. To reduce the computational complexity we use… CONTINUE READING

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