Numerous interesting properties in nonlinear systems analysis can be written as polynomial optimization problems with nonconvex sum-of-squares problems. To solve those problems efficiently, we propose a sequential approach of local linearizations leading to tractable, convex sum-of-squares problems. Local convergence is proven under the assumption of strong regularity and the new approach is applied to estimate the region of attraction of a polynomial aircraft model.
%0 Conference Paper
%1 Cunis2022acc
%A Cunis, Torbjørn
%A Legat, Benoît
%B 2023 American Control Conference
%C San Diego, CA
%D 2023
%K imported myown
%R 10.23919/ACC55779.2023.10156153
%T Sequential sum-of-squares programming for analysis of nonlinear systems
%X Numerous interesting properties in nonlinear systems analysis can be written as polynomial optimization problems with nonconvex sum-of-squares problems. To solve those problems efficiently, we propose a sequential approach of local linearizations leading to tractable, convex sum-of-squares problems. Local convergence is proven under the assumption of strong regularity and the new approach is applied to estimate the region of attraction of a polynomial aircraft model.
@inproceedings{Cunis2022acc,
abstract = {Numerous interesting properties in nonlinear systems analysis can be written as polynomial optimization problems with nonconvex sum-of-squares problems. To solve those problems efficiently, we propose a sequential approach of local linearizations leading to tractable, convex sum-of-squares problems. Local convergence is proven under the assumption of strong regularity and the new approach is applied to estimate the region of attraction of a polynomial aircraft model.},
added-at = {2023-01-10T09:19:16.000+0100},
address = {San Diego, CA},
archiveprefix = {arXiv},
arxivid = {2210.02142},
author = {Cunis, Torbj{\o}rn and Legat, Beno{\^{i}}t},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23d8a8185ed34261bc04a601390f2dcef/tcunis},
booktitle = {2023 American Control Conference},
doi = {10.23919/ACC55779.2023.10156153},
eprint = {2210.02142},
file = {:Users/cunis/Downloads/2210.02142.pdf:pdf},
interhash = {f7a43400baea4acd6d83117297279378},
intrahash = {3d8a8185ed34261bc04a601390f2dcef},
keywords = {imported myown},
preprinturl = {http://arxiv.org/abs/2210.02142},
timestamp = {2023-11-29T10:45:20.000+0100},
title = {Sequential sum-of-squares programming for analysis of nonlinear systems},
year = 2023
}