CaltechAUTHORS
  A Caltech Library Service

System Level Synthesis: A Tutorial

Doyle, John C. and Matni, Nikolai and Wang, Yuh-Shyang and Anderson, James and Low, Steven H. (2017) System Level Synthesis: A Tutorial. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 2856-2867. ISBN 978-1-5090-2874-0. https://resolver.caltech.edu/CaltechAUTHORS:20180126-080200870

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180126-080200870

Abstract

This tutorial paper provides an overview of the System Level Approach to control synthesis; a scalable framework for large-scale distributed control. The system level approach is composed of three central components: System Level Parameterizations (SLPs), System Level Constraints (SLCs) and System Level Synthesis (SLP) problems. We describe how the combination of these elements parameterize the largest known class of constrained controllers that admit a convex formulation.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/CDC.2017.8264074DOIArticle
http://ieeexplore.ieee.org/document/8264074/PublisherArticle
ORCID:
AuthorORCID
Doyle, John C.0000-0002-1828-2486
Matni, Nikolai0000-0003-4936-3921
Wang, Yuh-Shyang0000-0001-7357-7247
Anderson, James0000-0002-2832-8396
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2017 IEEE. Date Added to IEEE Xplore: 23 January 2018. This research was supported by grants from the AFOSR and NSF, and by gifts from Huawei and Google.
Funders:
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
NSFUNSPECIFIED
HuaweiUNSPECIFIED
GoogleUNSPECIFIED
Record Number:CaltechAUTHORS:20180126-080200870
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180126-080200870
Official Citation:J. C. Doyle, N. Matni, Y. S. Wang, J. Anderson and S. Low, "System level synthesis: A tutorial," 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017, pp. 2856-2867. doi: 10.1109/CDC.2017.8264074
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84534
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:31 Jan 2018 00:54
Last Modified:03 Oct 2019 19:19

Repository Staff Only: item control page