Lossless Convexification and Duality

Fuente: arXiv
Saved in:
Bibliographic Details
Main Author: Lee, Donghwan
Format: Preprint
Published: 2021
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913475978067968
author Lee, Donghwan
author_facet Lee, Donghwan
contents The main goal of this paper is to investigate strong duality of non-convex semidefinite programming problems (SDPs). In the optimization community, it is well-known that a convex optimization problem satisfies strong duality if the Slater's condition holds. However, this result cannot be directly generalized to non-convex problems. In this paper, we prove that a class of non-convex SDPs with special structures satisfies strong duality under the Slater's condition. Such a class of SDPs arises in SDP-based control analysis and design approaches. Throughout the paper, several examples are given to support the proposed results. We expect that the proposed analysis can potentially deepen our understanding of non-convex SDPs arising in the control community, and promote their analysis based on KKT conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2108_01457
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Lossless Convexification and Duality
Lee, Donghwan
Optimization and Control
The main goal of this paper is to investigate strong duality of non-convex semidefinite programming problems (SDPs). In the optimization community, it is well-known that a convex optimization problem satisfies strong duality if the Slater's condition holds. However, this result cannot be directly generalized to non-convex problems. In this paper, we prove that a class of non-convex SDPs with special structures satisfies strong duality under the Slater's condition. Such a class of SDPs arises in SDP-based control analysis and design approaches. Throughout the paper, several examples are given to support the proposed results. We expect that the proposed analysis can potentially deepen our understanding of non-convex SDPs arising in the control community, and promote their analysis based on KKT conditions.
title Lossless Convexification and Duality
topic Optimization and Control
url https://arxiv.org/abs/2108.01457