Model Predictive Control¶
Rawlings, J. B., & Mayne, D. Q. (2009). Model Predictive Control: Theory and Design. Nob Hill Publishing.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Model Predictive Control
- Its central vulnerability is that it is only as good as its forecast and its model: optimize confidently against a biased prediction and you get a confidently wrong plan — the plant-model mismatch that flatters the optimizer while the real system drifts off.
This sourceShows that MPC optimizes model-based forecasts, so prediction bias can misdirect the optimized action, and treats plant-model mismatch as a cause of real-system offset or degraded performance.
- Its central vulnerability is that it is only as good as its forecast and its model: optimize confidently against a biased prediction and you get a confidently wrong plan — the plant-model mismatch that flatters the optimizer while the real system drifts off.
- Receding-Horizon Planning
- The method descends from receding-horizon (model-predictive) control, where the same commit-first, re-solve-always logic is standard.
This sourceDefines model-predictive control as repeatedly solving a finite-horizon problem, applying the first control move, and resolving at the next step.
- The method descends from receding-horizon (model-predictive) control, where the same commit-first, re-solve-always logic is standard.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
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Links previously used in the corpus¶
Before the registry existed this work was also linked 1 other way.
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