A General Framework to Design Stabilizing Nonlinear Model Predictive Controllers
By Fernando A. C. C. Fontes. 2001
338 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/4e17860ba9be9d3dfde737268767b466846ef518
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
- Moritz Diehl
- Panagiotis D. Christofides
- Frank Allgöwer
- Rolf Findeisen
- Jinfeng Liu
- Hans Georg Bock
- David Muñoz de la Peña
- Riccardo Scattolini
In Molecular Biology
- Jinfeng Liu
- Frank Allgöwer
- David Muñoz de la Peña
- Moritz Diehl
- Riccardo Scattolini
- Panagiotis D. Christofides
- Bjarne A. Foss
- Lars Struen Imsland
Citations in the corpus
- Distributed model predictive control: A tutorial review and future research directions (2013, positive): “This leads us to the design of model predictive control architectures in which different MPCs coordinate their actions through communication to exchange sub-system state and control action information.”
- Nominal stability of real-time iteration scheme for nonlinear model predictive control (2005, background): “As is well known [MHER95, Fon00 ], NMPC can also stabilize systems that cannot be stabilized by feedback that is continuous in the state.”
- An Introduction to Nonlinear Model Predictive Control (2002, methodology): “Different possibilities to achieve closed-loop stability for NMPC using a finite horizon length have been proposed, see for example [3, 17, 20, 23, 34 , 35, 38, 39, 44, 51, 53, 55, 56, 60, 62, 63, 70].”
- Output feedback stabilization of constrained systems with nonlinear predictive control (2003, background): “However, for example, it excludes systems that can only be stabilized by discontinuous feedback (as state feedback NMPC can stabilize [26]).”
- State and Output Feedback Nonlinear Model Predictive Control: An Overview (2003, methodology): “As is well known [36, 40, 70], NMPC can also stabilize systems that cannot be stabilized by feedback that is continuous in the state.”
- Review on model predictive control: an engineering perspective (2021, background): “For a more complete discussion and mathematical foundation regarding stability, the authors refer to [3, 72, 77, 98] and [31, 81, 87].”