Conditions for which MPC fails to converge to the correct target

@inproceedings{Shead2008ConditionsFW,
  title={Conditions for which MPC fails to converge to the correct target},
  author={Leo Shead and Kenneth R. Muske},
  year={2008}
}
This paper considers the efficacy of disturbance models for ensuring offset free tracking and optimum steady-state target selection within linear model predictive control (MPC). Previously published methods for steady-state target determination can address model error, disturbances, and output target changes when the desired steady state is unconstrained, but may fail when there are active constraints. This paper focuses on scenarios where the most desirable target is unreachable, thus some… CONTINUE READING