Application set approximation in optimal input design for model predictive control

@article{Ebadat2014ApplicationSA,
  title={Application set approximation in optimal input design for model predictive control},
  author={Afrooz Ebadat and Mariette Annergren and Christian A. Larsson and Cristian R. Rojas and Bo Wahlberg},
  journal={2014 European Control Conference (ECC)},
  year={2014},
  pages={744-749}
}
This contribution considers one central aspect of experiment design in system identification, namely application set approximation. When a control design is based on an estimated model, the achievable performance is related to the quality of the estimate. The degradation in control performance due to plant-modeling missmatch is quantified by an application cost function. A convex approximation of the set of models that satisfy the control specification is typically required in optimal input… CONTINUE READING