A dual Newton strategy for tree‐sparse quadratic programs and its implementation in the open‐source software treeQP-Reference-Cited by-同舟云学术

A dual Newton strategy for tree‐sparse quadratic programs and its implementation in the open‐source software treeQP

Published:2019-03-05 Issue:8 Volume:29 Page:2438-2457
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Kouzoupis D.¹^ORCID,Klintberg E.²,Frison G.¹,Gros S.³,Diehl M.¹⁴

Affiliation:

1. Department of Microsystems Engineering (IMTEK)University of Freiburg Freiburg im Breisgau Germany

2. Qamcom Research and Technology Gothenburg Sweden

3. Department of Electrical EngineeringChalmers University of Technology Gothenburg Sweden

4. Department of MathematicsUniversity of Freiburg Freiburg im Breisgau Germany

Funder

H2020-ITN-AWESCO

Federal Ministry for Economic Affairs and Energy (BMWi) via eco4wind

DFG via Research Unit FOR

State Ministry of Baden-Wuerttemberg for Sciences, Research and Arts

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.4503

Reference42 articles.

1. Examples when nonlinear model predictive control is nonrobust

2. CampoPJ MorariM.Robust model predictive control. Paper presented at: 1987 American Control Conference;1987;Minneapolis MN.

3. ZhengZQ MorariM.Robust stability of constrained model predictive control. Paper presented at: 1993 American Control Conference;1993;San Francisco CA.

4. Min-max feedback model predictive control for constrained linear systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Massively parallelizable proximal algorithms for large‐scale stochastic optimal control problems;Optimal Control Applications and Methods;2023-10-03