Robust MPC of constrained nonlinear systems based on interval arithmetic

By Daniel Limón, José Manuel Bravo, Teodoro Alamo, Eduardo Fernández Camacho. 2005

100 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/b81d60cfff99bdabffa816de8c3bc8f7c53eb7e3

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. Eric C. Kerrigan
2. Paola Falugi
3. Francesco Borrelli
4. Arthur G. Richards
5. Lars Grüne
6. Manfred Morari
7. David Q. Mayne
8. Alberto Bemporad

Citations in the corpus

• TUBE-BASED ROBUST NONLINEAR MODEL PREDICTIVE CONTROL1 (2007, unknown): “Other papers tighten the constraints on-line by computing bounds on the set of trajectories reachable from the current state, either by linearizing around trajectories (Lee et al., 2002) or via the computation of approximations to the reachable set (Limon et al., 2005; Bravo et al., 2006).”
• Robust model predictive control: advantages and disadvantages of tube-based methods ⋆ (2011, background): “The recent literature on robust nonlinear model predictive control often proposes algorithms that have similar complexity since they involve determination of a sequence of control laws or approximations thereto; see, for example Magni et al. (2003) and Limon et al. (2005).”