TUBE-BASED ROBUST NONLINEAR MODEL PREDICTIVE CONTROL1

By David Q. Mayne, Eric C. Kerrigan. 2007

461 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6176fc19b826eb464aa00e143e6cd1bac82fd695

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Frank Allgöwer
2. Angela P. Schoellig
3. C. Ostafew
4. T. Barfoot
5. David Q. Mayne
6. Sebastian Trimpe
7. Johannes Köhler
8. Michael Hertneck

In Molecular Biology

1. Frank Allgöwer
2. David Q. Mayne

Citations in the corpus

• Model predictive control: Recent developments and future promise (2014, methodology): “The latter problem is solved using a tube-based model predictive controller for nonlinear systems (Mayne et al., 2011) described above.”
• Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking (2016, background): “Tube MPC is a robust constrained algorithm that accounts for model uncertainty when considering constraints (Langson et al., 2004; Mayne et al., 2011).”
• Learning an Approximate Model Predictive Controller With Guarantees (2018, background): “This system is a common benchmark taken from 2 [24].”