Disturbance Models for Offset-Free Model-Predictive Control

@inproceedings{Pannocchia2003DisturbanceMF,
  title={Disturbance Models for Offset-Free Model-Predictive Control},
  author={Gabriele Pannocchia},
  year={2003}
}
Model predicti®e control algorithms achie®e offset-free control objecti®es by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant-model mismatch andror unmodeled disturbances. Its effecti®eness has been pro®en for particular square cases only. For systems with a number of ( ) ( ) measured ®ariables p greater than the number of manipulated ®ariables m , it is clear that any controller can track without offset at most m… CONTINUE READING
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