Model Predictive Control for Switching Max-Plus-Linear Systems with Random and Deterministic Switching

Reference

T. van den Boom and B. De Schutter, "Model predictive control for switching max-plus-linear systems with random and deterministic switching," Proceedings of the 17th IFAC World Congress, Seoul, Korea, pp. 7660-7665, July 2008.

Abstract

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 may depend on input and state, or it may be a stochastic process. We derive a stabilizing model predictive controller for SMPL systems with both deterministic and stochastic switching. In general, the optimization in the MPC algorithm boils down to a nonlinear optimization problem, where the cost criterion is piecewise polynomial on polyhedral sets and the inequality constraints are linear.

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BibTeX

@inproceedings{vanDeS:07-038,
   author    = {van den Boom, Ton and De Schutter, Bart},
   title     = {Model Predictive Control for Switching Max-Plus-Linear Systems
                with Random and Deterministic Switching},
   booktitle = {Proceedings of the 17th IFAC World Congress},
   address   = {Seoul, Korea},
   pages     = {7660--7665},
   month     = jul,
   year      = {2008}
   }


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