Model Predictive Control¶
Rawlings, J. B., Mayne, & Diehl, M. M. (2019). Model Predictive Control: Theory, Computation, and Design. Nob Hill Publishing.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Optimal Control Formulation
- Its failure is that the formulation is only as honest as its model: an optimum computed against wrong dynamics or a missing constraint is confidently wrong (model–plant mismatch), and an open-loop optimal schedule is brittle to any disturbance the model never anticipated.
This sourceExplains that model-based optimal control depends on accurate dynamics and constraints, and that open-loop schedules are vulnerable to unmodeled disturbances.
- Its failure is that the formulation is only as honest as its model: an optimum computed against wrong dynamics or a missing constraint is confidently wrong (model–plant mismatch), and an open-loop optimal schedule is brittle to any disturbance the model never anticipated.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:d7a365e7f45f · see in the full table