Nominal Model-Predictive Control
Model-predictive control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open-loop optimal control problems. We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance, and the assumptions needed in order to rigorously ensure these properties in a nominal setting.
KeywordsRecursive feasibility Sampled-data feedback Stability
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