Distributed Receding Horizon Control of Dynamically Coupled Nonlinear Systems

By William B. Dunbar. 2007

376 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

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. Panagiotis D. Christofides
2. Riccardo Scattolini
3. Jinfeng Liu
4. David Muñoz de la Peña
5. Derek Caveney
6. William B. Dunbar
7. David Q. Mayne
8. Matthew J. Ellis

Citations in the corpus

• Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability (2012, background): “Also similar to [6] and [7], cost and constraint penalties on the deviation between computed and assumed trajectories are used in the local optimal control problems to ensure stability, and for the first time in this work, string stability.”
• Distributed model predictive control: A tutorial review and future research directions (2013, positive): “In Jia and Krogh (2001), a DMPC scheme for linear systems coupled only through the state is considered, while Dunbar and Murray (2006) deals with the problem of distributed control of dynamically decoupled nonlinear systems coupled by their cost function.”
• Architectures for distributed and hierarchical Model Predictive Control - A review (2009, methodology): “An independent, noniterative and partially connected MPC algorithm guaranteeing stability for nonlinear continuous-time systems has been presented in [21], where information is transmitted only among neighboring subsystems.”