Model Predictive Control
Receding-horizon control with constraints.
Model Predictive Control. Receding-horizon control with constraints.
Foundations and canonical references
The standard treatments of model predictive control approach the subject from complementary angles. Rawlings, Model Predictive Control: Theory, Computation, and Design (2017) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to. Maciejowski, Predictive Control with Constraints (2002) gives a parallel, more proof-oriented exposition of the same material and is widely used as a graduate text.
Open methodological questions for model predictive control include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.
Prerequisites
Sources
- textbook · primary · 2017Model Predictive Control: Theory, Computation, and Designrawlings-2017, mayne-2017, diehl-2017
- textbook · primary · 2002Predictive Control with Constraintsmaciejowski-2002
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