The standard way to achieve offset-free tracking in MPC is to add the disturbance dynamics to the prediction model and then use an observer to estimate the real disturbance. Existing algorithms only consider piecewise constant signals, while in practice it is often desirable to have a wider choice o
✦ LIBER ✦
Nonlinear offset-free model predictive control
✍ Scribed by M. Morari; U. Maeder
- Book ID
- 118426001
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 477 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0005-1098
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## Abstract Model predictive control algorithms achieve offset‐free control objectives by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant‐model mismatch and/or unmodeled disturbances. Its effectiveness has been proven for parti
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