Paper Info
Title
A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL<inline-formula><tex-math notation="LaTeX">$^{T}$</tex-math></inline-formula> Updates
Abstract
In this technical article, we present a dual active-set solver for quadratic programming that has properties suitable for use in embedded model predictive control applications. In particular, the solver is efficient, can easily be warm started, and is simple to code. Moreover, the exact worst-case computational complexity of the solver can be determined offline and, by using outer proximal-point iterations, ill-conditioned problems can be handled in a robust manner.
Year
DOI
Venue
2022
10.1109/TAC.2022.3176430
IEEE Transactions on Automatic Control
Keywords
DocType
Volume
Embedded optimization,model predictive control (MPC),quadratic programming (QP)
Journal
67
Issue
ISSN
Citations 
8
0018-9286
0
PageRank 
References 
Authors
0.34
16
3
Name
Order
Citations
PageRank
Arnström Daniel122.40
Alberto Bemporad24353568.62
Daniel Axehill300.34